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Additionally, *OpenSceneFlow* integrates following excellent works: [ICLR'24 ZeroFlow](https://arxiv.org/abs/2305.10424), [ICCV'23 FastNSF](https://arxiv.org/abs/2304.09121), [RA-L'21 FastFlow](https://arxiv.org/abs/2103.01306), [NeurIPS'21 NSFP](https://arxiv.org/abs/2111.01253). (More on the way...)
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Additionally, *OpenSceneFlow* integrates following excellent works: [ICLR'24 ZeroFlow](https://arxiv.org/abs/2305.10424), [ICCV'23 FastNSF](https://arxiv.org/abs/2304.09121), [RA-L'21 FastFlow3D](https://arxiv.org/abs/2103.01306), [NeurIPS'21 NSFP](https://arxiv.org/abs/2111.01253). (More on the way...)
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<details> <summary> Summary of them:</summary>
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-[x][FastFlow3d](https://arxiv.org/abs/2103.01306): RA-L 2021, a basic backbone model.
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-[x][FastFlow3D](https://arxiv.org/abs/2103.01306): RA-L 2021, a basic backbone model.
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-[x][ZeroFlow](https://arxiv.org/abs/2305.10424): ICLR 2024, their pre-trained weight can covert into our format easily through [the script](tools/zerof2ours.py).
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-[ ][NSFP](https://arxiv.org/abs/2111.01253): NeurIPS 2021, faster 3x than original version because of [our CUDA speed up](assets/cuda/README.md), same (slightly better) performance. Done coding, public after review.
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-[ ][FastNSF](https://arxiv.org/abs/2304.09121): ICCV 2023. Done coding, public after review.
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-[ ][ICP-Flow](https://arxiv.org/abs/2402.17351): CVPR 2024. Done coding, public after review.
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-[ ][FastNSF](https://arxiv.org/abs/2304.09121): ICCV 2023. SSL optimization-based. Done coding, public after review.
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-[ ][ICP-Flow](https://arxiv.org/abs/2402.17351): CVPR 2024. SSL optimization-based. Done coding, public after review.
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@@ -12,7 +12,7 @@ We've updated the process dataset for:
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-[x] Waymo: check [here](#waymo-dataset). The process script was involved from [SeFlow](https://github.com/KTH-RPL/SeFlow).
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-[ ] nuScenes: done coding, public after review. Will be involved later by another paper.
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If you want to use all datasets above, there is a specific process environment in [envsftool.yaml](../envsftool.yaml) to install all the necessary packages. As Waymo package have different configuration and conflict with the main environment. Setup through the following command:
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If you want to **use all datasets above**, there is a **specific environment** in [envsftool.yaml](../envsftool.yaml) to install all the necessary packages. As Waymo package have different configuration and conflict with the main environment. Setup through the following command:
And flowlabel data can be downloaded here with ground segmentation by HDMap follow the same style of [ZeroFlow](https://github.com/kylevedder/zeroflow/blob/master/data_prep_scripts/waymo/extract_flow_and_remove_ground.py).
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You can download the processed map folder here to free yourself downloaded another type of data again:
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For ground segmentation, we follow the same style of [ZeroFlow](https://github.com/kylevedder/zeroflow/blob/master/data_prep_scripts/waymo/extract_flow_and_remove_ground.py) to have HDMap. You can download the processed map by running:
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