computer-vision.md

Computer vision

LiT (Locked-image Tuning) paper is neat. Trying to understand Vision Transformers. Kornia seems like a great library. Imagen is fascinating.

Embedding Methods for Image Search is a nice read.

Rerun is great CV visualization tool.

Links

• OpenCV - Open Source Computer Vision Library. (Web) (OpenCV Course)
• Gluon CV Toolkit - Provides implementations of the sate-of-the-art (SOTA) deep learning models in computer vision.
• Pythia - Modular framework for vision and language multimodal research. Built on top of PyTorch.
• video-object-removal - Just draw a bounding box and you can remove the object you want to remove.
• GoCV - Go package for computer vision using OpenCV 4 and beyond.
• Sandbox for training convolutional networks for computer vision
• Get started with Computer Vision, Deep Learning, and OpenCV
• TorchCV - PyTorch-Based Framework for Deep Learning in Computer Vision.
• AI Habitat - Flexible, high-performance 3D simulator for Embodied AI research.
• Kornia - Open Source Differentiable Computer Vision Library for PyTorch. (Web)
• Roboflow - Raw images to trained computer vision model. (Article)
• PySlowFast - Open source video understanding codebase from FAIR that provides state-of-the-art video classification models.
• How to Convert a Picture to Numbers
• Awesome Computer Vision
• The Ancient Secrets of Computer Vision (2018)
• Variational Methods for Computer Vision lectures (2013)
• Classy Vision - New end-to-end, PyTorch-based framework for large-scale training of state-of-the-art image and video classification models.
• Meshroom - 3D Reconstruction Software.
• AliceVision - Photogrammetric Computer Vision Framework. (Code) (GitHub)
• PyTorch3d - Provides efficient, reusable components for 3D Computer Vision research with PyTorch. (Web)
• Face Recognition - World's simplest facial recognition api for Python and the command line.
• Deep Hough Voting for 3D Object Detection in Point Clouds
• Point Cloud Library - Standalone, large scale, open project for 2D/3D image and point cloud processing.
• Disappearing-People - Removing people from complex backgrounds in real time using TensorFlow.js in the web browser. (HN)
• Best Practices, code samples, and documentation for Computer Vision
• Computer Vision Basics in Microsoft Excel
• PolyGen: An Autoregressive Generative Model of 3D Meshes (2020)
• Sophus - C++ implementation of Lie Groups using Eigen.
• SOLT - Streaming over lightweight data transformations.
• Awesome Interaction-aware Behavior and Trajectory Prediction
• SynSin: End-to-end View Synthesis from a Single Image (2020) (Code)
• Pixel2Mesh - Generating 3D Mesh Models from Single RGB Images.
• First Order Motion Model for Image Animation (Code)
• PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution
• Learning to See Through Obstructions
• Learning to Cluster Faces on an Affinity Graph (LTC)
• Avatarify - Avatars for Zoom and Skype.
• SPSR - PyTorch implementation of Structure-Preserving Super Resolution with Gradient Guidance.
• OISR-PyTorch - PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution.
• 3D Photography using Context-aware Layered Depth Inpainting
• CenterMask : Real-Time Anchor-Free Instance Segmentation
• Interview with Dmytro Mushkin | Computer Vision Research | Kaggle, ML & Education (2020)
• Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
• FaceTracker - Real time deformable face tracking in C++ with OpenCV 3.
• Awesome Super Resolution
• Adversarial Latent Autoencoders
• ElasticFusion - Real-time dense visual SLAM system capable of capturing comprehensive dense globally consistent surfel-based maps of room scale environments explored using an RGB-D camera.
• StegaStamp: Invisible Hyperlinks in Physical Photographs
• Pose Animator - Takes a 2D vector illustration and animates its containing curves in real-time based on the recognition result from PoseNet and FaceMesh. (HN)
• fvcore - Collection of common code that's shared among different research projects in FAIR computer vision team.
• Making Sense of Vision and Touch: Multimodal Representations for Contact-Rich Tasks (2020)
• ScreenPoint - Project an image centroid to another image using OpenCV.
• U^2-Net - Code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection".
• TorchIO - Tools for medical image processing in deep learning.
• Real time Image Animation in OpenCV using first order model (HN)
• OpenMV (Open-Source Machine Vision) - Aims at making machine vision more accessible to beginners by developing a user-friendly, open-source, low-cost machine vision platform.
• TSD - 1st place models in Google OpenImage Detection Challenge 2019.
• Training-Time-Friendly Network for Real-Time Object Detection
• Big Transfer (BiT): General Visual Representation Learning
• Fast Human Pose Estimation CVPR2019
• Deep High-Resolution Representation Learning for Human Pose Estimation
• Background Matting: The World is Your Green Screen
• DE⫶TR: End-to-End Object Detection with Transformers
• PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
• Tracking Objects as Points
• VIBE - Video Inference for Human Body Pose and Shape Estimation.
• SRZoo - Integrated repository for super-resolution using deep learning.
• mAP (mean Average Precision) - Evaluates the performance of your neural net for object recognition.
• Neural Pose Transfer by Spatially Adaptive Instance Normalization (2020)
• Awesome Neural Rendering
• Learning To Classify Images Without Labels
• Deep Leakage From Gradients (2019)
• 3Dflow - Offers customized computer vision software solutions.
• labelme - Image Polygonal Annotation with Python.
• imgviz - Image Visualization Tools.
• Attention-Guided Hierarchical Structure Aggregation for Image Matting
• YOLOv5 Is Here: State-of-the-Art Object Detection at 140 FPS (2020) (HN) (Code)
• DetectoRS - Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution.
• PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
• VirTex: Learning Visual Representations from Textual Annotations
• High-Resolution 3D Human Digitization from A Single Image
• FairMOT - Simple baseline for one-shot multi-object tracking.
• Implicit Neural Representations with Periodic Activation Functions (2020)
• MSeg: A Composite Dataset for Multi-Domain Segmentation
• Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
• MMDetection - OpenMMLab Detection Toolbox and Benchmark.
• Fourier Feature Networks in TensorFlow 2
• Computer Vision Lab | ETH Zurich
• PyTorch Computer Vision Library for Experts and Beginners (2020)
• Computer Vision Pretrained Models
• Fawkes: Image “Cloaking” for Personal Privacy (HN)
• Motion - Software motion detector.
• Supervised 3D Mesh Reconstruction (2020)
• NeRF in the Wild - Neural Radiance Fields for Unconstrained Photo Collections.
• NASA: Neural Articulated Shape Approximation (2020)
• An Overview of Deep Learning Architectures in Few-Shot Learning Domain (2020)
• FutureMapping: The Computational Structure of Spatial AI Systems (2018) (Tweet)
• Optimal Peanut Butter and Banana Sandwiches (2020) (Twitter)
• Gesture Recognition with Line Integrals (Code)
• Computer Vision: Looking Back to Look Forward (2020)
• DAIN (Depth-Aware Video Frame Interpolation)
• Picsellia - Development platform dedicated to Computer Vision.
• Official implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch
• Object Recognition with Gradient-Based Learning (1999)
• Imaginaire - NVIDIA PyTorch GAN library with distributed and mixed precision support. (Docs)
• DeepBackSub - Virtual Video Device for Background Replacement with Deep Semantic Segmentation.
• Awesome Tiny Object Detection
• Flow-edge Guided Video Completion
• 5 Things to look for in a Computer Vision startup job (2020)
• Transformers for Image Recognition at Scale (2020) (HN)
• nnU-Net - Segmentation method that is designed to deal with the dataset diversity.
• batchgenerators - Framework for data augmentation for 2D and 3D image classification and segmentation.
• Lookuq - App to create object detection projects without coding. (HN)
• InsightFace - Face Analysis Project on MXNet. (Web)
• PyTorch implementation of SwAV (Swapping Assignments between Views)
• Asymmetric Loss For Multi-Label Classification in PyTorch
• Antialiased CNNs - Making Convolutional Networks Shift-Invariant Again.
• Perceptual Similarity Metric and Dataset - Unreasonable Effectiveness of Deep Features as a Perceptual Metric.
• Deep Learning Anime Papers
• Vision Transformer - Models from the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
• Handsfree.js - Wrapper library around computer vision models for working with face pointers, assistive tech, and creative expression. (Web)
• ZeroQ: A Novel Zero Shot Quantization Framework
• SqueezeNext - Contains the Caffe implementation of SqueezeNext.
• ANODE: Adjoint Based Neural ODEs
• Python Video Stabilization using OpenCV
• Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
• TorchCV - PyTorch vision library mimics ChainerCV.
• Vision Transformer in PyTorch
• MedicalTorch - Medical imaging framework for PyTorch. (Docs)
• imagecluster - Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
• Detecto - Build fully-functioning computer vision models with PyTorch. (Docs)
• EmoPy - Deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER).
• PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder"
• Label Decoupling Framework for Salient Object Detection
• MONAI - PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem. (Web)
• Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
• Faster R-CNN Explained for Object Detection Tasks (2020)
• How to Install OpenCV on a Raspberry Pi (2020)
• Contextual Encoder-Decoder Network for Visual Saliency Prediction
• PyImageSearch - Master Computer Vision, Deep Learning, and OpenCV.
• Natural Adversarial Examples - Harder ImageNet Test Set.
• How to upload 50 OpenCV frames into cloud storage within 1 second (2020)
• Egocentric Videoconferencing (2020) - Method for egocentric videoconferencing that enables handsfree video calls, for instance by people wearing smart glasses or other mixedreality devices. (Video overview)
• gradslam - Open source differentiable dense SLAM library for PyTorch.
• High-Resolution Daytime Translation Without Domain Labels
• Holistically-Nested Edge Detection
• pycls - Image classification codebase, written in PyTorch.
• PyTorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
• How Useful is Self-Supervised Pretraining for Visual Tasks?
• PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
• InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
• Multi-object trackers in Python - Easy to use implementation of various multi-object tracking algorithms.
• Stanford Vision and Learning Lab (GitHub)
• Learning computer vision. Overview of methods and software (2018)
• Image embeddings. Image similarity and building (2020) (Code)
• All You Need to Know About Object Detection Systems (2020)
• Lightly - Computer vision framework for self-supervised learning.
• DISK: Learning local features with policy gradient (2020) (Code)
• Caer - Lightweight Computer Vision library for high-performance AI research. (Intro)
• Awesome Image to Image Translation Papers
• EfficientDet: Scalable and Efficient Object Detection, in PyTorch
• UNet: semantic segmentation with PyTorch
• Exploring Simple Siamese Representation Learning (2020) (Code) (Code)
• Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
• Nerfies: Deformable Neural Radiance Fields (Code)
• Timeception for Complex Action Recognition (2019) (Code)
• Programming Computer Vision with Python (2014) (Code) (Notes)
• Fast and Accurate One-Stage Space-Time Video Super-Resolution (2020)
• pixelNeRF: Neural Radiance Fields from One or Few Images (2020) (Code)
• vedadet - Single stage object detector toolbox based on PyTorch.
• OneNet: End-to-End One-Stage Object Detection by Classification Cost
• Consistent Video Depth Estimation - Estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
• Implicit Neural Representations with Periodic Activation Functions
• Computational Imaging Stanford Lab
• Trimap-Free Solution for Portrait Matting in Real Time
• Local Light Field Fusion
• Awesome Crowd Counting
• Neural Sparse Voxel Fields (NSVF)
• One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing (2020) (Tweet)
• SharpAI DeepCamera - Source stack for machine learning engineering with private deployment and AutoML for edge computing. (HN)
• Contrastive learning of global and local features for medical image segmentation with limited annotations
• Real-Time High-Resolution Background Matting (2020) (Code)
• Torchreid - Deep learning person re-identification in PyTorch.
• Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
• img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
• SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
• PCT: Point Cloud Transformer (2020) (Code)
• Learning Continuous Image Representation with Local Implicit Image Function (2020) (Code)
• Computer Vision Annotation Tool (CVAT)
• DeiT: Data-efficient Image Transformers
• Awesome Implicit Neural Representations
• ImageAI - Python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities. (Web)
• RAIVN Lab - Reasoning, AI and VisioN (RAIVN) Lab. (GitHub)
• Norfair - Customizable lightweight Python library for real-time 2D object tracking.
• Universal Style Transfer in PyTorch
• NVIDIA Deep learning Dataset Synthesizer (NDDS)
• Object Detection at 2530 FPS with TensorRT and 8-Bit Quantization (2020)
• HTML4Vision - Simple HTML visualization tool for computer vision research.
• Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders
• Taming Transformers for High-Resolution Image Synthesis
• X-Temporal - Easily implement SOTA video understanding methods with PyTorch on multiple machines and GPUs.
• NanoDet - Super fast and lightweight anchor-free object detection model. Real-time on mobile devices.
• PyTorch Image Models
• Awesome Vision and Language - Curated list of awesome vision and language resources.
• DropBlock: A regularization method for convolutional networks (2018) (Code)
• Glasses - Compact, concise and customizable deep learning computer vision library. (Web)
• Explorable Super Resolution (2019)
• PySceneDetect - Python and OpenCV-based scene cut/transition detection program & library.
• Best Practices for Building Computer Vision Models (2021)
• TIDE - General Toolbox for Identifying Object Detection Errors.
• Sparse R-CNN: End-to-End Object Detection with Learnable Proposals (2020) (Code)
• Unsplash Image Search - Search photos on Unsplash using natural language.
• Kimera Semantics - Real-Time 3D Semantic Reconstruction from 2D data.
• Voxblox++ - Volumetric object-level semantic mapping framework.
• Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Surfaces (Code)
• Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video (2020) (Code)
• DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation (2019) (Code)
• Awesome Neural Radiance Fields
• D2Det: Towards High Quality Object Detection and Instance Segmentation (2020)
• DetCo: Unsupervised Contrastive Learning for Object Detection (2021) (Code) (Code)
• Computer Vision Video Lectures - Curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
• Cord - Training data toolbox for computer vision. (HN)
• Text-Guided Editing of Images (Using CLIP and StyleGAN)
• torchvision - Datasets, Transforms and Models specific to Computer Vision. (Web)
• MeInGame: Create a Game Character Face from a Single Portrait (2021) (Code)
• Awesome Deep Vision
• dataset-tools - Tools for quickly normalizing image datasets.
• Using Streamlit to visualize object detection output (2021)
• Mobile Computer Vision @ Facebook
• Opening the black box of vision AI algorithms (2021)
• CompreFace - Free face recognition solution that can be easily integrated into any IT system without prior machine learning skills.
• IBRNet: Learning Multi-View Image-Based Rendering (2021) (Code)
• From Coarse to Fine: Robust Hierarchical Localization at Large Scale (2019) (Code)
• Camera Response Function (2021)
• I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image (2020) (Code)
• SkipNet: Learning Dynamic Routing in Convolutional Networks (2018) (Code)
• Mrcal - Camera Calibrations and More. (HN)
• Digging Into Self-Supervised Monocular Depth Estimation (2019) (Code) (Code)
• VISSL - FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images. (Web)
• Zumo Labs - Generate custom synthetic data sets that result in more robust and reliable computer vision models. (GitHub)
• Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors (2020) (Code)
• Perceiver: General Perception with Iterative Attention (2021) (Code)
• SEER: The start of a more powerful, flexible, and accessible era for computer vision (2021)
• NerFACE: Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction (2021)
• Neural 3D Video Synthesis
• Involution: Inverting the Inherence of Convolution for Visual Recognition (2021) (Code)
• Awesome Causality in Computer Vision
• Vision Transformers for Dense Prediction (2021) (Code)
• LoFTR: Detector-Free Local Feature Matching with Transformers (2021) (Code)
• ccv - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
• Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes (2020) (Code)
• AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control (2021) (Tweet)
• Computer Vision and Embroidery (2021) (Code)
• mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields (2021)
• Python libraries I use every day for computer vision work (2021)
• Awesome Temporal Sentence Grounding in Videos
• The Affective Growth of Computer Vision
• Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (2020) (Code)
• End-to-End Video Instance Segmentation with Transformers (2021) (Code)
• SAHI: Slicing Aided Hyper Inference
• FOVO: A new 3D rendering technique based on human vision (2020) (HN)
• Is Space-Time Attention All You Need for Video Understanding? (2021) (Code)
• Awesome Visual-Transformer - Transformer with Computer-Vision (CV) papers.
• PyTorchVideo - Deep learning library for video understanding research. (Web)
• Self-supervised Video Object Segmentation by Motion Grouping (2021) (HN) (Code)
• torchvideo - Datasets, transforms and samplers for video in PyTorch.
• A General and Adaptive Robust Loss Function (2019) (Code)
• Self-supervising Fine-grained Region Similarities for Large-scale Image Localization (2020) (Code)
• MaX-DeepLab: Dual-Path Transformers for End-to-End Panoptic Segmentation (2021)
• Vizy - AI Camera.
• MMPX Style-Preserving Pixel Art Magnification (2021) (HN)
• Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion (Code)
• SuperPoint: Self-Supervised Interest Point Detection and Description (2018) (Code)
• Multi-Stage Progressive Image Restoration (2021) (Code)
• COLMAP - General-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. (Docs)
• Awesome Vision-based SLAM / Visual Odometry
• Barlow Twins: Self-Supervised Learning via Redundancy Reduction (2021) (Code)
• HIPCL - OpenCL/SPIR-V implementation of HIP.
• MMCV - Foundational library for computer vision research and supports many research projects. (Docs)
• MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding (2021) (Code)
• Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples (2021) (Code) (Code)
• Emerging Properties in Self-Supervised Vision Transformers (2021) (Code) (Tweet) (Tweet)
• Geometry-Free View Synthesis: Transformers and no 3D Priors (2021) (Code)
• Easily Transform Portraits of People into AI Aberrations Using StyleCLIP (2021)
• DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates (2021) (Code)
• Onepanel - Open and extensible integrated development environment (IDE) for computer vision. (Web)
• Vector Neurons: A General Framework for SO(3)-Equivariant Networks (2021) (Code)
• ISTR: End-to-End Instance Segmentation with Transformers (2021) (Code)
• MLP-Mixer: An all-MLP Architecture for Vision (2021) (Code) (Code)
• Self-attention building blocks for computer vision applications in PyTorch
• LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
• Text2Video: Text-driven Talking-head Video Synthesis with Phonetic Dictionary (2021) (Web) (Code)
• Neural Rendering: How Low Can You Go in Terms of Input? (2021)
• Enhancing Photorealism Enhancement (2021) (Paper) (Code)
• DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control (2021) (Code)
• Omnimatte: Associating Objects and Their Effects in Video (2021)
• Rethinking "Batch" in BatchNorm (2021)
• Most popular metrics used to evaluate object detection algorithms
• UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation (2020) (Code)
• Synthetic for Computer Vision - List of synthetic dataset and tools for computer vision.
• vision_blender - Blender addon for generating synthetic ground truth data for Computer Vision applications.
• Easy Few-Shot Learning - Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification.
• BasicSR (Basic Super Restoration) - Open source image and video restoration toolbox based on PyTorch, such as super-resolution, denoise, deblurring, JPEG artifacts removal, etc.
• Intriguing Properties of Vision Transformers (2021) (Reddit)
• DIY Amazon Go – computer vision tutorial for cashierless checkout
• Image Retrieval in the Wild (2020)
• Awesome Transformer in CV papers
• Sensor Calibration from Scratch with Rust (2021)
• Tangram Vision - Integrate, Calibrate Perception Sensors For Robots, Drones & Automation. (Blog)
• Rust CV - Project to implement computer vision algorithms, abstractions, and systems in Rust.
• Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control (2021) (HN)
• Robust Instance Segmentation through Reasoning about Multi-Object Occlusion (2021) (Code)
• MERLOT: Multimodal Neural Script Knowledge Models (2021) (Tweet)
• Scaling Vision Transformers (2021)
• Self-Supervised Scene De-occlusion (2020) (Code)
• Pivotal Tuning for Latent-based Editing of Real Images (2021) (Code)
• FLAME: Articulated Expressive 3D Head Model (Code)
• XCiT: Cross-Covariance Image Transformers (2021) (Code)
• Robust Consistent Video Depth Estimation (2021) (Code)
• cvpods - All-in-one Toolbox for Computer Vision Research.
• CDFI: Compression-Driven Network Design for Frame Interpolation (2021) (Code)
• NeRF--: Neural Radiance Fields Without Known Camera Parameters (2021) (Code) (Code)
• Oxford Active Vision Laboratory (GitHub)
• Computer Vision: Algorithms and Applications, 2nd ed.
• motionEyeOS - Linux distribution that turns your single board computer into a video surveillance system.
• Long-Short Transformer: Efficient Transformers for Language and Vision (2021) (Code)
• Feature Visualization – How NNs understand images (2017)
• What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis (2019) (Code)
• Convolutional Hough Matching Networks (2021) (Code)
• Efficient Self-Supervised Vision Transformers (EsViT)
• ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases (2021) (Code) (Paper Read) (Article)
• CO3D: Common Objects In 3D - Tools for working with the Common Objects in 3D (CO3D) dataset.
• ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition (2021) (Code)
• Vision Transformer Architecture Search (2021) (Code)
• TSIT: A Simple and Versatile Framework for Image-to-Image Translation (2020) (Code)
• Recognizing People in Photos Through Private On-Device Machine Learning (2021)
• CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation (2021) (Code)
• HPNet: Deep Primitive Segmentation Using Hybrid Representations (2021) (Code)
• Portal - Fastest way to load and visualize your deep neural networks on images and videos.
• Awesome Human Pose Estimation
• Learning A Single Network for Scale-Arbitrary Super-Resolution (2021) (Code)
• PyTorch implementation for Vision Transformer
• Repulsive Curves - Model 2D & 3D curves while avoiding self-intersection. (Tweet) (Code) (HN)
• SDEdit: Image Synthesis and Editing with Stochastic Differential Equations (Code)
• Region Similarity Representation Learning (2021) (Code)
• NeX: Real-time View Synthesis with Neural Basis Expansion (2021) (Code)
• Convolutional Occupancy Networks (2020) (Code)
• Learning Optical Flow from a Few Matches (2021) (Code)
• Visual Parser: Representing Part-whole Hierarchies with Transformers (2021) (Code)
• Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation (Code)
• On Generating Transferable Targeted Perturbations (2021) (Code)
• Awesome Scene Understanding - List of papers for scene understanding.
• Align before Fuse: Vision and Language Representation Learning with Momentum Distillation (2021) (Code)
• DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks (2021) (Code)
• Object Detection in an Hour (2021) (HN)
• Fixing the train-test resolution discrepancy (2020) (Code)
• Align Deep Features for Oriented Object Detection (2020) (Code)
• Vision-Language Transformer and Query Generation for Referring Segmentation (2021) (Code)
• Depth-supervised NeRF: Fewer Views and Faster Training for Free (2021) (Code)
• SwinIR: Image Restoration Using Swin Transformer (2021) (Code)
• You Only Learn One Representation: Unified Network for Multiple Tasks (2021) (Code)
• Probabilistic Modeling for Human Mesh Recovery (2021) (Code)
• BARF: Bundle-Adjusting Neural Radiance Fields (2021) (Code)
• Self-Calibrating Neural Radiance Fields (2021) (Code)
• Transformers-Tutorials - Demos I made with the Transformers library by HuggingFace.
• 3D Human Texture Estimation from a Single Image with Transformers (2021) (Code)
• CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval (2021) (Code)
• RAFT: Recurrent All Pairs Field Transforms for Optical Flow (2020) (Code)
• Volume rendering + 3D implicit surface = Neural 3D Reconstruction
• Hierarchical Deep Stereo Matching on High-resolution Images (2019) (Code)
• Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering (2021) (Code)
• Image Synthesis via Semantic Composition (2021) (Code)
• Awesome-Edge-Detection-Papers
• Awesome-Image-Colorization
• Learning A Single Network for Scale-Arbitrary Super-Resolution (2021) (Code)
• Face Recognition - 2D and 3D Face alignment library build using PyTorch.
• Awesome image retrieval papers
• PeekingDuck - Modular framework built to simplify Computer Vision inference workloads.
• Pri3D: Can 3D Priors Help 2D Representation Learning? (2021) (Code)
• FaceXLib - Aims at providing ready-to-use face-related functions based on current STOA open-source methods.
• MMAction2 - Open-source toolbox for video understanding based on PyTorch.
• Awesome Collision Detection
• Video Super-Resolution Transformer (2021) (Code)
• NeRF Atlas - Collection of NeRF extensions for fun and experimentation.
• Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, BSRGAN, SwinIR
• Uformer: A General U-Shaped Transformer for Image Restoration (2021) (Code) (Code)
• Self-Supervised Pretraining Improves Self-Supervised Pretraining (2021) (Code)
• SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes (2021) (Code)
• HRFormer: High-Resolution Transformer for Dense Prediction, NeurIPS 2021
• IceVision - Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come. (Docs)
• e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks (2021) (Tweet)
• Attention Gated Networks (Image Classification & Segmentation) in PyTorch
• Full-Duplex Strategy for Video Object Segmentation (2021) (Code)
• YoHa - Practical hand tracking engine. (HN) (Code)
• Deep Learning for Face Anti-Spoofing: A Survey (2021) (Code)
• A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (2021) (Code)
• Resolution-robust Large Mask Inpainting with Fourier Convolutions (2021) (Code)
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (2021) (Code) (Code)
• ADOP: Approximate Differentiable One-Pixel Point Rendering (2021) (Tweet) (Tweet) (Code)
• Patches Are All You Need? (2021) (Code)
• ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation (2020) (Code)
• Video Panoptic Segmentation (2020) (Code)
• Awesome-ICCV2021-Low-Level-Vision - Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation.
• Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts (2021) (Code)
• Non-deep Networks (2021) (Code)
• receptivefield - Gradient based receptive field estimation for Convolutional Neural Networks.
• Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations (2021) (Code)
• Neural Articulated Radiance Field (2021) (Code)
• Efficient Visual Pretraining with Contrastive Detection (2021) (Code)
• VoTT (Visual Object Tagging Tool) - Source annotation and labeling tool for image and video assets.
• FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes (2021) (Code)
• ByteTrack: Multi-Object Tracking by Associating Every Detection Box (2021) (Code)
• Dense Video Captioning with Bi-modal Transformer (2020) (Code)
• PyTorch-Encoding - CV toolkit for my papers. (Docs)
• Space Time Recurrent Memory Network (2021) (Code)
• CVNets - Library for training computer vision networks.
• Scenic - Jax Library for Computer Vision Research and Beyond. (Paper)
• CV Arxiv Daily (Code)
• OpenVisionCapsules - Set of libraries for encapsulating smart vision algorithms.
• MedMNIST: Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification (Code)
• Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language (2021) (Code)
• Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces (2021) (Code)
• The 2021 Image Similarity Dataset and Challenge (2021) (Code)
• K-Net: Towards Unified Image Segmentation (2021) (Code)
• Yolov5 + Deep Sort with PyTorch
• Shape As Points: A Differentiable Poisson Solver (2021) (Code)
• Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm (2021) (Code)
• Awesome Vision-Language Navigation
• An Exploration of Embodied Visual Exploration (2021) (Code)
• DVC: An End-to-end Deep Video Compression Framework (2019) (Code)
• Pixray - Neural image generation.
• Unsupervised Learning of Compositional Energy Concepts (2021) (Tweet)
• Learning with Noisy Labels for Robust Point Cloud Segmentation (2021) (Code)
• Kalidoface - Become a virtual character with just your webcam. (Web)
• KalidoKit - Face, Pose, and Hand Tracking Kinematics.
• The Ancient Secrets of Computer Vision
• Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training (2020) (Code)
• PyGaze - Open source eye-tracking software and more. (HN)
• Exploring Relational Context for Multi-Task Dense Prediction (2021) (Code)
• Neural Scene Graphs for Dynamic Scenes (2021) (Code)
• Image Super-Resolution via Iterative Refinement (HN) (Code)
• UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning (2021) (Code)
• Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers (2021) (Code)
• Multimodal Virtual Point 3D Detection (2021) (Code)
• SiT: Self-supervised vIsion Transformer
• Attention Mechanisms in Computer Vision: A Survey (2021)
• Awesome Vision Attention Papers
• FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (2021) (Code)
• RenderNet: A deep convolutional network for differentiable rendering from 3D shapes (2018) (Code)
• Masked Autoencoders Are Scalable Vision Learners (2021) (Code) (Code) (Code)
• BoostingMonocularDepth
• It's About Time: Analog Clock Reading in the Wild (2021) (Tweet) (Code)
• Learning to Compose Visual Relations (2021) (Code)
• LF-Net: Learning Local Features from Images (2018) (Code)
• Aligning Pretraining for Detection via Object-Level Contrastive Learning (2021) (Code)
• Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis (2021) (Code)
• Deep unfolding network for image super-resolution (2020)
• VOLO: Vision Outlooker for Visual Recognition (2021) (Code)
• Direct Multi-view Multi-person 3D Pose Estimation (2021) (Code)
• Image2Mesh: A learning framework for single image 3D reconstruction (2019) (Code)
• GammaCV - WebGL accelerated Computer Vision library for modern web applications. (Web)
• Localizing Objects with Self-Supervised Transformers and no Labels (2021) (Code)
• Harvester - GenICam-based Image Acquisition Python Library.
• NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion (2021) (Code) (PyTorch Code)
• ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision (2021) (Code)
• MetaFormer is Actually What You Need for Vision (2021) (Code)
• ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators (2021) (Code)
• Mesa: A Memory-saving Training Framework for Transformers (2021) (Code)
• MMPose - Open-source toolbox for pose estimation based on PyTorch. (Docs)
• An Empirical Study of Training End-to-End Vision-and-Language Transformers (2021) (Code)
• Useful computer vision PhD resources
• Tenyks - Data-centric Computer Vision.
• Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation (2021) (Code)
• GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields (2021) (Code)
• Learning to See by Looking at Noise (2021) (Code)
• iBOT: Image BERT Pre-Training with Online Tokenizer (2021) (Code)
• Grounded Language-Image Pre-training (2021) (Code)
• 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction (2016) (Code)
• Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks (Code)
• Awesome Visual Grounding
• Are Transformers More Robust Than CNNs? (2021) (Code)
• Plenoxels: Radiance Fields without Neural Networks (2021) (Code) (Code)
• GFPGAN - Developing Practical Algorithms for Real-world Face Restoration.
• Awesome Video Stabilization
• MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo (2021) (Code)
• Tracking People with 3D Representations (2021) (Code)
• Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection (2019:) (Code)
• Learning to Stylize Novel Views (2021) (Code)
• YOLOX - High-performance anchor-free YOLO. (Docs)
• PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop (2021) (Code)
• SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation (2021) (Code)
• NeRD: Neural Reflectance Decomposition from Image Collections (2021) (Code)
• Vector Quantized Diffusion Model for Text-to-Image Synthesis (2021) (Code) (Code) (Code)
• GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models (2021) (Code)
• SynthDet - End-to-end object detection pipeline using synthetic data.
• MPViT: Multi-Path Vision Transformer for Dense Prediction (2021) (Code)
• StyleSwin: Transformer-based GAN for High-resolution Image Generation (2021) (Code)
• Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline (2021) (Code)
• SLIP: Self-supervision meets Language-Image Pre-training (2021) (Code)
• General Facial Representation Learning in a Visual-Linguistic Manner (2021) (Code) (Code)
• HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields (Code) (HN)
• Learning to Regress Bodies from Images using Differentiable Semantic Rendering (2021) (Code)
• High-Resolution Image Synthesis with Latent Diffusion Models (2021) (Code)
• Photorealistic Audio-driven Video Portraits (2020) (Code)
• Awesome Hand Pose Estimation
• Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers (2021) (Code)
• Transformer Interpretability Beyond Attention Visualization (2021) (Code)
• StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis (2021) (Code)
• Light Field Image Super-Resolution with Transformers (2021) (Code)
• Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes (2021) (Code)
• DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample (2021) (Code)
• RAFT-3D: Scene Flow using Rigid-Motion Embeddings (2021) (Code)
• Unsupervised Indoor Depth Estimation (2020) (Code)
• A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose (2021) (Code)
• Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective (2021) (Code)
• Sara - Easy-to-Use C++ Computer Vision Library.
• RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching (2021) (Code)
• U-2-Net: Going Deeper with Nested U-Structure for Salient Object Detection (2020) (Code)
• Language as Queries for Referring Video Object Segmentation (2022) (Code)
• Localization with Sampling-Argmax (2021) (Code)
• VOCA: Voice Operated Character Animation (Code)
• CVZone - Computer vision package that makes its easy to run Image processing and AI functions.
• Deepface - Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.
• Location-aware Single Image Reflection Removal (2021) (Code)
• MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement (2021) (Code)
• Detecting Twenty-thousand Classes using Image-level Supervision (2022) (Code)
• Language-driven Semantic Segmentation (2022) (Code)
• Rethinking Nearest Neighbors for Visual Classification (2021) (Code)
• Vision Transformer with Deformable Attention (2022) (Code) (Code)
• KerasCV - Industry-strength Computer Vision workflows with Keras.
• Instant Neural Graphics Primitives - Lightning fast NeRF and more.
• Dynamic Head: Unifying Object Detection Heads with Attentions (2021) (Code)
• ELSA: Enhanced Local Self-Attention for Vision Transformer (2021) (Code)
• FFCV - Fast Forward Computer Vision (and other ML workloads!) (Web)
• Awesome Vit - Curated list and survey of awesome Vision Transformers.
• Instant Neural Graphics Primitives with a Multiresolution Hash Encoding (2022) (Code) (Code) (Video Summary) (HN)
• Road Extraction by Deep Residual U-Net (2017) (Code)
• Single-Stage 6D Object Pose Estimation (2019) (Code)
• Visual Task Adaptation Benchmark (VTAB)
• TAda! Temporally-Adaptive Convolutions for Video Understanding (2022) (Code)
• UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction (2021) (Code)
• Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects (2020) (Code)
• VRT: A Video Restoration Transformer (2021) (Code)
• Unknown Object Segmentation from Stereo Images (2021) (Code)
• Stacked Cross Attention for Image-Text Matching (2018) (Code)
• BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation (2022) (Code)
• DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows (2021) (Code)
• DocFormer: End-to-End Transformer for Document Understanding (2022) (Code)
• SeMask: Semantically Masked Transformers for Semantic Segmentation (2021) (Code)
• Image Quality Assessment: Unifying Structure and Texture Similarity (2020) (Code)
• Learning Super-Features for Image Retrieval (2022)
• YOLOv7 - Framework Beyond Detection.
• A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model (2021) (Code)
• Single/Multiple Object Tracking and Segmentation
• Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection (2021) (Code)
• HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping (2021) (Code)
• Scalable Large Scene Neural View Synthesis (2022) (HN)
• Transformer Recipe - Quick recipe to learn all about Transformers.
• NeROIC: Neural Rendering of Objects from Online Image Collections (2022) (Code)
• DiffusionNet: Discretization Agnostic Learning on Surfaces (2022) (Code)
• FILM: Frame Interpolation for Large Motion (2022) (Code) (HN)
• Learning Signed Distance Field for Multi-view Surface Reconstruction (2021) (Code)
• Deep Metric Learning in PyTorch
• ICON: Implicit Clothed humans Obtained from Normals (2021) (Code)
• CLIPasso: Semantically-Aware Object Sketching (2022) (Code)
• BANMo: Building Animatable 3D Neural Models from Many Casual Videos (2022) (Code)
• How Do Vision Transformers Work?
• Top 10 Computer Vision Papers of 2021
• Exploring Sparsity in Image Super-Resolution for Efficient Inference (2021) (Code)
• AutoInt: Automatic Integration for Fast Neural Volume Rendering (2021)
• Learning to Prompt for Vision-Language Models (2021) (Code)
• Summarizing Videos with Attention (2019) (Code)
• vkit - Toolkit designed for CV (Computer Vision) developers. (Docs)
• Generative Adversarial Graph Convolutional Networks for Human Action Synthesis (2021) (Code)
• Awesome Image Matting
• Image-to-Markup Generation with Coarse-to-Fine Attention (Code)
• Push-ups with Python, mediapipe and OpenCV (HN)
• Lama-cleaner: Image inpainting tool powered by LaMa
• Vision-Language Pre-Training with Triple Contrastive Learning (2022) (Code)
• 3D Machine Learning resources/papers
• FiftyOne - Open-source tool for building high-quality datasets and computer vision models.
• Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut (2022) (Code)
• Awesome Multiple object Tracking
• Rethinking Coarse-to-Fine Approach in Single Image Deblurring (2021) (Code)
• Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling (2021) (Code)
• As-ViT: Auto-scaling Vision Transformers without Training (2022) (Code)
• Awesome 3D Body Papers
• RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth (2021) (Code)
• Image Similarity Challenge
• Blended Diffusion for Text-driven Editing of Natural Images (2021) (Code)
• The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization (2021) (Code)
• Awesome Object Pose
• Video Enhancement papers/resources
• PowerQE: An Open Framework for Quality Enhancement of Compressed Visual Data
• Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels (2022) (Code)
• Accurate Image Alignment and Registration Using OpenCV (2022) (HN)
• Video Grounding and Captioning
• Awesome Detection Transformer
• StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis (2021) (Code) (Web) (HN)
• Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (2020) (Code)
• MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation (2021) (Code)
• DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection (2022) (Code)
• Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation (2022)
• CycleMLP: A MLP-like Architecture for Dense Prediction (2022) (Code)
• Image Quality Assessment Benchmark
• StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation (2021) (Code)
• Transformers, originally designed to handle language, are taking on vision (2022) (HN)
• Fast Image Processing with Fully-Convolutional Networks (2017) (Code)
• Efficient Attention: Attention with Linear Complexities (2020) (Code)
• Label-Efficient Semantic Segmentation with Diffusion Models (2022) (Code)
• hloc - Modular toolbox for state-of-the-art 6-DoF visual localization.
• All Tokens Matter: Token Labeling for Training Better Vision Transformers (2021) (Code)
• Deformable ConvNets v2: More Deformable, Better Results (2018) (Code)
• Restormer: Efficient Transformer for High-Resolution Image Restoration (2021) (Code)
• Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice (2022) (Code)
• NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video (2021) (Code)
• Awesome 3D Human Reconstruction
• Awesome 3D Human Resources List
• A ConvNet for the 2020s (2022) (Code) (Code)
• Remote-sensing-image-semantic-segmentation - Uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.
• Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies (2021) (Code)
• TensoRF: Tensorial Radiance Fields (2022) (Code)
• Autoregressive Image Generation using Residual Quantization (2022) (Code) (Code)
• Pix2Pix Timbre Transfer
• One-Shot Adaptation of GAN in Just One CLIP (2022) (Code)
• PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds (2021) (Code)
• VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training (2022) (Code)
• Awesome Masked Image Modeling
• BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training (2022) (Code)
• A Transformer-Based Siamese Network for Change Detection (2022) (Code)
• Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition (2021) (Code)
• Robust fine-tuning of zero-shot models (2022) (Code)
• DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision (2021) (Code)
• GroupViT: Semantic Segmentation Emerges from Text Supervision (2022) (Code)
• HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening (2022) (Code)
• TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing (2022) (Code)
• DeepStream-Yolo - NVIDIA DeepStream SDK 6.0.1 configuration for YOLO models.
• An Empirical Investigation of 3D Anomaly Detection and Segmentation (2022) (Code)
• Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation (2021) (Code)
• Layered Neural Atlases for Consistent Video Editing (2021) (Code)
• TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution (2020)
• Shape from Polarization for Complex Scenes in the Wild (2022) (Code)
• Pix2Seq - General framework for turning RGB pixels into semantically meaningful sequences.
• Gait Recognition in the Wild with Dense 3D Representations and A Benchmark (2022) (Code)
• Ensembling Hugging Face Transformers made easy
• Relational Knowledge Distillation (2019) (Code)
• NICE-SLAM: Neural Implicit Scalable Encoding for SLAM (2021) (Code)
• Neural 3D Mesh Renderer (2017) (Code)
• Large-scale Bilingual Language-Image Contrastive Learning (2022) (Code)
• OpenMVG - Open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
• Neural Points: Point Cloud Representation with Neural Fields (2021) (Code)
• OpenCV JS Web Worker - Getting started with OpenCV compiled to Webassembly and loaded in a worker.
• Learning Graph Regularisation for Guided Super-Resolution (2022) (Code)
• Video Polyp Segmentation: A Deep Learning Perspective (2022) (Code)
• Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images (2022) (Code)
• HybridNets: End-to-End Perception Network (2022) (Code)
• HDR-NeRF: High Dynamic Range Neural Radiance Fields (2022) (Code)
• AdaMixer: A Fast-Converging Query-Based Object Detector (2022) (Code)
• MixFormer: End-to-End Tracking with Iterative Mixed Attention (2022) (Code)
• Bringing Old Films Back to Life (2022) (Code)
• Extracting Triangular 3D Models, Materials, and Lighting From Images (2022) (Code)
• LiT: Zero-Shot Transfer with Locked-image text Tuning (2021) (Tweet)
• LAFITE: Towards Language-Free Training for Text-to-Image Generation (2021) (Code)
• Neural 3D Video Synthesis from Multi-view Video (2022) (Code)
• ToFu: Topologically Consistent Multi-View Face Inference Using Volumetric Sampling (2021)
• Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning (2019) (Code)
• FrankMocap: A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator (2021)
• Reddit Place Script 2022 - Script to draw an image onto r/place.
• A Unified Objective for Novel Class Discovery (2021) (Code)
• Papers and Datasets about Point Cloud
• On the Importance of Asymmetry for Siamese Representation Learning (2022) (Code)
• REGTR: End-to-end Point Cloud Correspondences with Transformers
• A Closer Look at Local Aggregation Operators in Point Cloud Analysis (2020) (Code)
• Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries (2022) (Code)
• Perception Prioritized Training of Diffusion Models (2022) (Code)
• VisualBERT: A Simple and Performant Baseline for Vision and Language (2019) (Code)
• MultiMAE: Multi-modal Multi-task Masked Autoencoders (2022) (Code)
• NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction (2021) (Code)
• Towards Open World Object Detection (2021) (Code)
• Transformer in Vision - Recent Transformer-based CV and related works.
• Shunted Self-Attention via Multi-Scale Token Aggregation (2021) (Code)
• Space-Time Correspondence as a Contrastive Random Walk (2020) (Code)
• MaskGIT: Masked Generative Image Transformer (2022) (Code)
• EasyCV - All-in-one computer vision toolbox based on PyTorch.
• Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection (2022) (Code)
• EMOCA: Emotion Driven Monocular Face Capture and Animation (2022)
• Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation (2022) (Code)
• FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (Code)
• PointCLIP: Point Cloud Understanding by CLIP (2022) (Code)
• DaViT: Dual Attention Vision Transformers (2022) (Code)
• DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers (2022) (Code)
• Recovering 3D Human Mesh from Monocular Images: A Survey (2022) (Code)
• Video Diffusion Models (2022) (Web) (Code)
• MaxViT: Multi-Axis Vision Transformer (2022) (Code)
• Unified Contrastive Learning in Image-Text-Label Space (2022) (Code)
• RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering (2021) (Code)
• MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition (2021) (Code)
• Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (2022) (Code)
• MAXIM: Multi-Axis MLP for Image Processing (2022) (Code)
• Tensil tutorial for YOLO v4 Tiny on Ultra96 V2 (2022)
• UNITER: UNiversal Image-TExt Representation Learning (2020) (Code)
• Consistent Depth of Moving Objects in Video (2021) (Code)
• Bridging Video-text Retrieval with Multiple Choice Questions (2022) (Code)
• Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (2020) (Code)
• BACON: Band-limited Coordinate Networks for Multiscale Scene Representation (2022) (Code)
• Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results (2022) (Code)
• Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering (2021) (Code)
• SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image (2022) (Code)
• StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions (2021) (Code)
• Neighborhood Attention Transformer (2022) (Code)
• 3D Surface Reconstruction From Multi-Date Satellite Images (2021) (Code)
• Decoupling Makes Weakly Supervised Local Feature Better (2022) (Code)
• ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic (2022) (Code)
• EasyMocap - Open-source toolbox for markerless human motion capture from RGB videos.
• QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation (2022) (Code)
• PolarMask: Single Shot Instance Segmentation with Polar Representation (2019) (Code)
• Latent Video Transformer (2020) (Code)
• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (2020) (JAX Code)
• A Latent Transformer for Disentangled Face Editing in Images and Videos (2021) (Code)
• Photorealistic Style Transfer via Wavelet Transforms (2019) (Code)
• Probing ViTs
• Dense Depth Priors for Neural Radiance Fields from Sparse Input Views (2021) (Code)
• Self-Supervised Models are Continual Learners (2021) (Code)
• Mask Transfiner for High-Quality Instance Segmentation (2022) (Code)
• An Extendable, Efficient and Effective Transformer-based Object Detector (2022)
• Learned Queries for Efficient Local Attention (2021) (Code)
• 3D Human Pose Estimation with Spatial and Temporal Transformers (2021) (Code)
• 3D human pose estimation in video with temporal convolutions and semi-supervised training (2019) (Code)
• MC-Calib: A generic and robust calibration toolbox for multi-camera systems (2022) (Code)
• Understanding The Robustness in Vision Transformers (2022) (Code)
• Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation (2021) (Code)
• Tackling multiple tasks with a single visual language model (2022) (Code) (Tweet)
• Associating Objects with Transformers for Video Object Segmentation (2021) (Code)
• Simple multi-dataset detection - Object detection on multiple datasets with an automatically learned unified label space.
• Learning Texture Transformer Network for Image Super-Resolution (2020) (Code)
• Balanced MSE for Imbalanced Visual Regression (2022) (Code)
• Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions (2022) (Code)
• Action-Conditioned 3D Human Motion Synthesis with Transformer VAE (2021) (Code)
• CoMoGAN: continuous model-guided image-to-image translation (2021) (Code)
• OpenMVS - Open Multi-View Stereo reconstruction library.
• Sliced Recursive Transformer (2021) (Code)
• Neural Dual Contouring (2022) (Code)
• Awesome Deblurring - Curated list of resources for Image and Video Deblurring.
• CoCa: Contrastive Captioners are Image-Text Foundation Models (2022) (Code)
• Sequencer: Deep LSTM for Image Classification (2022)
• Language Models Can See: Plugging Visual Controls in Text Generation (2022) (Code)
• flyswot - CLI for Hugging Face Transformers image classification models.
• Neural 3D Scene Reconstruction with the Manhattan-world Assumption (2022) (Code)
• PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (2022) (Code)
• What do the Vision Transformers learn? How do they encode anything useful for image recognition? (2022)
• Integrative Few-Shot Learning for Classification and Segmentation (2022) (Code)
• DeltaConv: Anisotropic Geometric Deep Learning with Exterior Calculus (2022) (Code)
• pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis (2021) (Code)
• Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework (2022) (Code)
• ConvMAE: Masked Convolution Meets Masked Autoencoders (2022) (Code)
• Deep Kernelized Dense Geometric Matching (2022) (Code)
• Unsupervised Semantic Segmentation by Distilling Feature Correspondences (2022) (Code)
• RecursiveMix: Mixed Learning with History (2022) (Code)
• MMDetection3d - OpenMMLab's next-generation platform for general 3D object detection.
• Imagen: Text-to-Image Diffusion Models (Tweet) (Code) (HN) (HN)
• An End-to-End Transformer Model for 3D Object Detection (2021) (Code)
• Neural 3D Reconstruction in the Wild (2022) (Code)
• Body shape and pose estimation on 3D scans of people in clothing using Ceres Solver
• A Survey of Visual Transformers (2021) (Code)
• Nerfies: Deformable Neural Radiance Fields (2021) (Code)
• Working notes on the role of vision papers in basic science (2022) (Tweet)
• CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers (2022) (HN)
• Prompt-aligned Gradient for Prompt Tuning (2022) (Code)
• Text2Human: Text-Driven Controllable Human Image Generation (2022) (Code)
• OnePose: One-Shot Object Pose Estimation without CAD Models (2022) (Code)
• PREF: Phasorial Embedding Fields for Compact Neural Representations (2022) (Code)
• Optimizing Relevance Maps of Vision Transformers Improves Robustness (2022) (Code)
• Exploring Visual Prompts for Adapting Large-Scale Models (2022) (Code)
• Deepfake Offensive Toolkit - Makes real-time, controllable deepfakes ready for virtual cameras injection. (HN)
• Real-time Object Detection for Streaming Perception (2022) (Code)
• Volumentations 3D - Library for 3D augmentations.
• Awesome Learning with Label Noise
• LIVE: Towards Layer-wise Image Vectorization (2022) (Code)
• BEVT: BERT Pretraining of Video Transformers (2021) (Code)
• Variable Bitrate Neural Fields (2022) (Code)
• Gated-SCNN: Gated Shape CNNs for Semantic Segmentation (2019) (Code)
• Masked Unsupervised Self-training for Zero-shot Image Classification (2022) (Code)
• HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video (2022) (Code)
• Awesome Implicit NeRF Robotics
• EfficientFormer: Vision Transformers at MobileNet Speed (2022) (Code)
• ARF: Artistic Radiance Fields (2022) (Code) (HN)
• Patch2Pix: Epipolar-Guided Pixel-Level Correspondences (2020) (Code)
• Translating Images into Maps (2022) (Code)
• Instances as Queries (2021) (Code)
• OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction (2022) (Code)
• CogView: Mastering Text-to-Image Generation via Transformers (2021) (Code)
• All in One: Exploring Unified Video-Language Pre-training (2022) (Code)
• Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization (2022) (Code)
• Solving Inefficiency of Self-supervised Representation Learning (2021) (Code)
• NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination (2021) (Code)
• Trending in 3D Vision
• ShapeFormer: Transformer-based Shape Completion via Sparse Representation (2022) (Code)
• Awesome Prompting Papers in Computer Vision
• EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation (2022) (Code)
• GenDR: A Generalized Differentiable Renderer (2022) (Code)
• Elucidating the Design Space of Diffusion-Based Generative Models (2022) (Code) (Code)
• IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images (2022) (Code)
• Omnivore: A Single Model for Many Visual Modalities (2022) (Code)
• Benchmarking and Analyzing Point Cloud Classification under Corruptions (2022) (Code)
• DVGO: Direct Voxel Grid Optimization (Super-fast Convergence for Radiance Fields Reconstruction) (2022) (Code)
• RegionCLIP: Region-based Language-Image Pretraining (2021) (Code)
• Fast Light-Weight Near-Field Photometric Stereo (2022) (Code)
• ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (2021) (Code)
• RePaint: Inpainting using Denoising Diffusion Probabilistic Models
• The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions (2022) (Code)
• 3D Moments from Near-Duplicate Photos (2022) (Code)
• Prototypical Contrastive Language Image Pretraining (2022) (Code)
• NeRV: Neural Representations for Videos (2021) (Code)
• MT-YOLOv6 - Single-stage object detection framework dedicated to industrial applications.
• Fast Point Transformer (2022) (Code)
• FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation (2022) (Code)
• Nettle Magic Project - Scanner for decks of cards with bar codes printed on card edges. (HN)
• Image Quality Assessment using Contrastive Learning (2021) (Code)
• Denoised MDPs: Learning World Models Better Than The World Itself (2022) (Code)
• Sparse Instance Activation for Real-Time Instance Segmentation (2022) (Code)
• Referring Image Matting (2022) (Code)
• Voxel-MAE: Masked Autoencoders for Pre-training Large-scale Point Clouds (2022) (Code)
• Contrastive Boundary Learning for Point Cloud Segmentation (2022) (Code)
• Scaling up Kernels in 3D CNNs (2022) (Code)
• Oriented RepPoints for Aerial Object Detection (2022) (Code)
• Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly (2022) (Code)
• EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications (2022) (Code)
• Awesome Visual Diffusion Models
• Vision Transformer Adapter for Dense Predictions (2022) (Code)
• Activating More Pixels in Image Super-Resolution Transformer (2022) (Code)
• PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies (2022) (Code)
• GMFlow: Learning Optical Flow via Global Matching (2022) (Code)
• Vector-quantized Image Modeling with Improved VQGAN (2021) (JAX Code)
• Learned Vertex Descent: A New Direction for 3D Human Model Fitting (2022) (Code)
• YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors (2022) (Code)
• AITViewer - Set of tools to visualize and interact with sequences of 3D data.
• Object-Compositional Neural Implicit Surfaces (Code)
• Awesome Egocentric Vision
• MonoScene: Monocular 3D Semantic Scene Completion (2022) (Code)
• Visual Prompt Tuning (2022) (Code)
• Unified Implicit Neural Stylization (2022) (Code)
• 3D-Aware Semantic-Guided Generative Model for Human Synthesis (2021) (Code)
• Text2LIVE: Text-Driven Layered Image and Video Editing (2022) (HN)
• HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction (2022) (Code)
• Generalization of Otsu's Method and Minimum Error Thresholding (2020)
• XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model (2022) (Code)
• Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation (2021) (Code)
• Deformable Sprites for Unsupervised Video Decomposition (2022) (Code)
• Topologically-Aware Deformation Fields for Single-View 3D Reconstruction (2022) (Code)
• Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation (2021) (Code)
• Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions (2022) (Code)
• Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry (2021) (Code)
• Box-supervised Instance Segmentation with Level Set Evolution (2022)
• Tent: Fully Test-Time Adaptation by Entropy Minimization (2021) (Code)
• UniFormer: Unifying Convolution and Self-attention for Visual Recognition (2022) (Code)
• MOTR: End-to-End Multiple-Object Tracking with Transformer (2022) (Code)
• Towards Grand Unification of Object Tracking (2022) (Code)
• Benchmarking Omni-Vision Representation through the Lens of Visual Realms (2022) (Code)
• Color Histograms in Image Retrieval
• SeqTR: A Simple yet Universal Network for Visual Grounding (2022) (Code)
• Image Inpainting with External-internal Learning and Monochromic Bottleneck (2021) (Code)
• Deep Image Homography Estimation (2016) (Code)
• Illumination Adaptive Transformer (2022) (Code)
• MotionCLIP: Exposing Human Motion Generation to CLIP Space (2022) (Code)
• Awesome Image Composition
• Scene Text Recognition with Permuted Autoregressive Sequence Models (2022) (Code)
• Multimodal Masked Autoencoders Learn Transferable Representations (Code)
• BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection (2022) (Code)
• BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving (2022) (Code)
• AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields (2022) (Code)
• Harmonizer: Learning to Perform White-Box Image and Video Harmonization (2022) (Code)
• CVAT - Computer Vision Annotation Tool. (Code)
• NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing (2022)
• Monocular 3D Object Detection with Depth from Motion (2022) (Code)
• Masked Discrimination for Self-Supervised Learning on Point Clouds (2022) (Code)
• SORT - Simple, online, and real time tracking of multiple objects in a video sequence.
• Local Color Distributions Prior for Image Enhancement (2022) (Code)
• S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning (2022) (Code)
• Is Attention All NeRF Needs? (2022) (Code)
• Camouflaged/Concealed Object Detection
• Accelerate Vision Transformer (ViT) with Quantization using Optimum (2022)
• Optimizing Transformers for GPUs with Optimum (2022)
• Photogrammetry Guide (HN)
• Multi-View Mesh Reconstruction with Neural Deferred Shading (2022) (Code)
• Initialization and Alignment for Adversarial Texture Optimization (2022) (Code)
• DCT-Net: Domain-Calibrated Translation for Portrait Stylization (2022) (Code)
• Pretraining is All You Need for Image-to-Image Translation (2022) (Code)
• Vision-Centric BEV Perception: A Survey
• Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency (2022) (Code)
• Awesome Weakly Supervised Semantic Segmentation Papers
• GAUDI: A Neural Architect for Immersive 3D Scene Generation (2022) (Code) (HN)
• Multimodal Image Synthesis and Editing: A Survey (2021) (Code)
• High-Resolution Image Synthesis with Latent Diffusion Models (2022) (Code)
• ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters (2022) (Code)
• 3D Vision with Transformers: A Survey (2022)
• Optical Flow Processing Stack
• VideoX - Multi-modal Video Content Understanding
• Simple Baselines for Image Restoration (2022) (Code)
• Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning (2022)
• Revisiting the Critical Factors of Augmentation-Invariant Representation Learning (2022) (Code)
• Image Quality Related Papers
• Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution (2022) (Code)
• MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation (2022) (Code)
• Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise (2022) (Code)
• Flexible Diffusion Modeling of Long Videos (2022) (Code)
• MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries (2022) (Code)
• Escaping the Big Data Paradigm with Compact Transformers (2021) (Code)
• Towards Layer-wise Image Vectorization (2022) (Code)
• Awesome Optical Flow
• LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling (2022) (Code)
• SimpleRecon: 3D Reconstruction Without 3D Convolutions (2022) (Code)
• Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories (2022) (Code)
• Lance - Columnar Data Format for Machine Learning and Computer Vision.
• Strand-Braid - Live, low-latency 2D and 3D tracking from single or multiple high-speed cameras.
• Multi-Domain Incremental Learning for Semantic Segmentation (2022) (Code)
• ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning (2022) (Code)
• Awesome Vision-and-Language Pre-Training
• Deep Vision and Graphics course
• OpenMixup - CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark.
• MMEditing - Low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.
• Accelerating DETR Convergence via Semantic-Aligned Matching (2022) (Code)
• The Follower - Using open cameras and AI to find how an Instagram photo is taken (Tweet)
• Image Segmentation Using Text and Image Prompts (2022) (Code)
• Knowledge Distillation from A Stronger Teacher (2022) (Code)
• Learning Pixel Trajectories with Multiscale Contrastive Random Walks (2022) (Code)
• Text2Light: Zero-Shot Text-Driven HDR Panorama Generation (2022) (Code)
• detrex - Open-source toolbox that provides state-of-the-art Transformer-based detection algorithms.
• VToonify: Controllable High-Resolution Portrait Video Style Transfer (2022) (Code)
• MMYOLO - Open source toolbox for YOLO series algorithms based on PyTorch and MMDetection.
• Relighting4D: Neural Relightable Human from Videos (2022) (Code)
• GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images (2022) (Code)
• Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (2019) (Code)
• Ask HN: Any good self-hosted image recognition software? (2022)
• LAVIS - One-stop Library for Language-Vision Intelligence.
• CATs: Cost Aggregation Transformers for Visual Correspondence (2021) (Code)
• Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation (2022) (Code)
• SetFit - Efficient Few-shot Learning with Sentence Transformers.
• Awesome Monocular 3D detection
• Human Motion Diffusion Model (2022) (Code) (HN)
• DreamFusion: Text-to-3D using 2D Diffusion (2022) (HN)
• Recent Advanced in Vision-and-Language Pre-training (2022)
• DeepInteraction: 3D Object Detection via Modality Interaction (2022) (Code)
• Vision OSC - Send (almost) all Apple Vision Framework's detection results via OSC.
• Synergistic Self-supervised and Quantization Learning (2022) (Code)
• Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models (2022) (Code)
• StyleSwap: Style-Based Generator Empowers Robust Face Swapping (2022) (Code)
• IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis (2022) (Code)
• VMFormer: End-to-End Video Matting with Transformer (2022) (Code)
• Image-Based CLIP-Guided Essence Transfer (2021) (Code)
• Equivariant Point Network for 3D Point Cloud Analysis (2022) (Code)
• Computer Vision in the Wild Readings
• Nerfstudio - Collaboration friendly studio for NeRFs.
• Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps (2022) (Code)
• MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction (2022) (Code)
• Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising (2022) (Code)
• 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (2022) (Code)
• PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation (2022) (Code)
• UPIT - FastAI/PyTorch package for unpaired image-to-image translation.
• On Distillation of Guided Diffusion Models (2022)
• Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence (2022) (Code)
• MaPLe: Multi-modal Prompt Learning (2022) (Code)
• GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation (2022) (Code)
• End2End Occluded Face Recognition by Masking Corrupted Features (2022) (Code)
• Paint Transformer: Feed Forward Neural Painting with Stroke Prediction (2021) (Code)
• Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance (2022) (Code)
• Adaptive Token Sampling For Efficient Vision Transformers (2022) (Code)
• Understanding Pure CLIP Guidance for Voxel Grid NeRF Models (2022) (Code)
• Real-Time Neural Character Rendering with Pose-Guided Multiplane Images (2022) (Code)
• Subspace Regularizers for Few-Shot Class Incremental Learning (2022) (Code)
• Exploring Long-Sequence Masked Autoencoders (2022) (Code)
• Awesome 3D-aware Image Synthesis – Papers, Codes and Datasets
• An Improved One millisecond Mobile Backbone (2021) (Code)
• Fuzzy Metaballs: Approximate Differentiable Rendering with Algebraic Surfaces (2022) (Code)
• Focal Modulation Networks (2022)
• Monocular Dynamic View Synthesis: A Reality Check (2022) (Code)
• Pose Recognition With Cascade Transformers (2021) (Code)
• Terran - Human perception library.
• Pento - Boost your business with computer vision. (GitHub)
• HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields (2022) (Code)
• FastestDet - Newly designed ultra lightweight anchor free target detection algorithm.
• Computer Vision, From 3D Reconstruction to Recognition Notes
• Stanford University: Deep Learning for Computer Vision (Notes)
• TAP-Vid: A Benchmark for Tracking Any Point in a Video (2022) (Code)
• StyleNAT: Giving Each Head a New Perspective (2022) (Code)
• InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions (2022) (Code)
• Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models (2022) (Code)
• SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery (2022) (Code)
• OpenSeeFace - Robust real time face and facial landmark tracking on CPU with Unity integration.
• GIT: A Generative Image-to-text Transformer for Vision and Language (2022) (Code)
• MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis (2022) (Code)
• Paddle Detection - High-Efficient Development Toolkit for Object Detection based on PaddlePaddle.
• Instant Neural Surface Reconstruction
• All are Worth Words: A ViT Backbone for Diffusion Models (2022) (Code)
• OneFormer: One Transformer to Rule Universal Image Segmentation (2022) (Code)
• Visual Object Tracking
• DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification (2021) (Code)
• Exploring CLIP for Assessing the Look and Feel of Images (2022) (Code)
• RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation (2022) (Code)
• Tracking without bells and whistles (2019) (Code)
• LaTr: Layout-Aware Transformer for Scene-Text VQA (2021) (Code)
• ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers (2022)
• SinDiffusion: Learning a Diffusion Model from a Single Natural Image (2022) (Code)
• CLIP4Cir - CLIP for Conditioned image retrieval training code.
• Physics-based Character Controllers Using Conditional VAEs (2022) (Code)
• Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition (2021) (Code)
• Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention (2022) (Code)
• VLDet: Learning Object-Language Alignments for Open-Vocabulary Object Detection (2022)
• NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views (2022) (Code)
• Vision Transformers (ViT) Explained (2022) (HN)
• Embedding Methods for Image Search | Pinecone
• Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion (2022) (Code)
• Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild (2022) (Code)
• ODaM - Object detection and Monitoring.
• Token Merging: Your ViT But Faster (2022) (Code)
• NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies (2022) (Code)
• Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars (2022) (Code)
• PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking (2022) (Code)
• Diffusion Models for Medical Image Analysis: A Comprehensive Survey (2022) (Code)
• RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data (2022) (Code)
• Rerun - Open source visualization infrastructure for computer vision and robotics.
• ECON: Explicit Clothed humans Obtained from Normals (2022) (Code)
• Monocular, One-stage, Regression of Multiple 3D People
• Paint by Example: Exemplar-based Image Editing with Diffusion Models (2022) (Code)
• Detection Transformers with Assignment (2022)
• Splicing ViT Features for Semantic Appearance Transfer (2022) (Code)
• Polynomial Neural Fields for Subband Decomposition and Manipulation (2022)
• CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet (2022) (Code)
• RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs (2022)
• Vision-and-Language Navigation Resources
• HNeRV: A Hybrid Neural Representation for Videos (2022) (Code)
• GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation (2022) (Code)
• Zero Shot Image Restoration Using Denoising Diffusion Null-Space Model (2022) (Code)
• DifFace: Blind Face Restoration with Diffused Error Contraction
• What do Vision Transformers Learn? A Visual Exploration
• Images Speak in Images: A Generalist Painter for In-Context Visual Learning (2022) (Code)
• ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
• SDFStudio: Unified Framework for Surface Reconstruction (Code)
• SegViT: Semantic Segmentation with Plain Vision Transformers (2022) (Code)
• MMEngine - Foundational library for training deep learning models based on PyTorch.
• SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields (2022) (Code)
• Great Computer Vision startups (2022)