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Add MapAnything to website
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_posts/2025-09-17-mapanything.md

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---
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layout: post
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title: "MapAnything: Universal Feed-Forward Metric 3D Reconstruction"
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date: 2025-09-17 11:00:00
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categories: research
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description: "MapAnything is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D geometry of a scene given various types of inputs (images, calibration, poses, or depth)."
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author: "Nikhil Keetha"
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published: true
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redirect: "https://map-anything.github.io/"
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show_sidebar: false
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# slim_content_width: true
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permalink: /mapanything_redirect/
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image: /img/posts/2025-09-17-mapanything/mapanything_teaser.png
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datatable: true
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title_image: None
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hero_image: /img/posts/2025-09-17-mapanything/mapanything_teaser.png
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hero_height: is-large
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remove_hero_title: false
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menubar_toc: false
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tags: Perception, Learning, SLAM
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---
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MapAnything is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D geometry of a scene given various types of inputs (images, calibration, poses, or depth).
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