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@@ -28,7 +28,8 @@ Here we upload our demo data and checkpoint for the community.
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  You can try following methods in [our OpenSceneFlow](https://github.com/KTH-RPL/OpenSceneFlow) without any effort to make your own benchmark.
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  Officially:
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- - [x] [HiMo (SeFlow++)](https://arxiv.org/abs/2503.00803): T-RO 2025
 
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  - [x] [VoteFlow](https://arxiv.org/abs/2503.22328): CVPR 2025
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  - [x] [SSF](https://arxiv.org/abs/2501.17821) (Ours πŸš€): ICRA 2025
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  - [x] [Flow4D](https://ieeexplore.ieee.org/document/10887254): RA-L 2025
@@ -40,7 +41,8 @@ Officially:
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  - [x] [FastFlow3d](https://arxiv.org/abs/2103.01306): RA-L 2021
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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](https://github.com/KTH-RPL/OpenSceneFlow/tools/zerof2ours.py).
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  - [x] [NSFP](https://arxiv.org/abs/2111.01253): NeurIPS 2021, faster 3x than original version because of [our CUDA speed up](https://github.com/KTH-RPL/OpenSceneFlow/assets/cuda/README.md), same (slightly better) performance. Done coding, public after review.
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- - [x] [FastNSF](https://arxiv.org/abs/2304.09121): ICCV 2023. Done coding, public after review.
 
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  - [ ] ... more on the way
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  </details>
@@ -84,6 +86,12 @@ and [v1 leaderboard](https://github.com/KTH-RPL/DeFlow/discussions/2).
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  year={2025},
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  journal={arXiv preprint arXiv:2503.00803},
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  }
 
 
 
 
 
 
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  ```
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  And our excellent collaborators works as followings:
 
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  You can try following methods in [our OpenSceneFlow](https://github.com/KTH-RPL/OpenSceneFlow) without any effort to make your own benchmark.
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  Officially:
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+ - [x] [DeltaFlow](https://arxiv.org/abs/2508.17054) (Ours πŸš€): NeurIPS 2025, spotlight
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+ - [x] [HiMo (SeFlow++)](https://arxiv.org/abs/2503.00803) (Ours πŸš€): T-RO 2025
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  - [x] [VoteFlow](https://arxiv.org/abs/2503.22328): CVPR 2025
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  - [x] [SSF](https://arxiv.org/abs/2501.17821) (Ours πŸš€): ICRA 2025
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  - [x] [Flow4D](https://ieeexplore.ieee.org/document/10887254): RA-L 2025
 
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  - [x] [FastFlow3d](https://arxiv.org/abs/2103.01306): RA-L 2021
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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](https://github.com/KTH-RPL/OpenSceneFlow/tools/zerof2ours.py).
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  - [x] [NSFP](https://arxiv.org/abs/2111.01253): NeurIPS 2021, faster 3x than original version because of [our CUDA speed up](https://github.com/KTH-RPL/OpenSceneFlow/assets/cuda/README.md), same (slightly better) performance. Done coding, public after review.
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+ - [x] [FastNSF](https://arxiv.org/abs/2304.09121): ICCV 2023.
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+ - [ ] [ICP-Flow](https://arxiv.org/abs/2402.17351): CVPR 2024. Done coding, wait after review approval.
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  - [ ] ... more on the way
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  </details>
 
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  year={2025},
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  journal={arXiv preprint arXiv:2503.00803},
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  }
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+ @article{zhang2025deltaflow,
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+ title={{DeltaFlow}: An Efficient Multi-frame Scene Flow Estimation Method},
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+ author={Zhang, Qingwen and Zhu, Xiaomeng and Zhang, Yushan and Cai, Yixi and Andersson, Olov and Jensfelt, Patric},
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+ year={2025},
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+ journal={arXiv preprint arXiv:2508.17054},
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+ }
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  ```
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  And our excellent collaborators works as followings: