Update README.md
Browse files
README.md
CHANGED
|
@@ -28,7 +28,8 @@ Here we upload our demo data and checkpoint for the community.
|
|
| 28 |
You can try following methods in [our OpenSceneFlow](https://github.com/KTH-RPL/OpenSceneFlow) without any effort to make your own benchmark.
|
| 29 |
|
| 30 |
Officially:
|
| 31 |
-
- [x] [
|
|
|
|
| 32 |
- [x] [VoteFlow](https://arxiv.org/abs/2503.22328): CVPR 2025
|
| 33 |
- [x] [SSF](https://arxiv.org/abs/2501.17821) (Ours π): ICRA 2025
|
| 34 |
- [x] [Flow4D](https://ieeexplore.ieee.org/document/10887254): RA-L 2025
|
|
@@ -40,7 +41,8 @@ Officially:
|
|
| 40 |
- [x] [FastFlow3d](https://arxiv.org/abs/2103.01306): RA-L 2021
|
| 41 |
- [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).
|
| 42 |
- [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.
|
| 43 |
-
- [x] [FastNSF](https://arxiv.org/abs/2304.09121): ICCV 2023.
|
|
|
|
| 44 |
- [ ] ... more on the way
|
| 45 |
|
| 46 |
</details>
|
|
@@ -84,6 +86,12 @@ and [v1 leaderboard](https://github.com/KTH-RPL/DeFlow/discussions/2).
|
|
| 84 |
year={2025},
|
| 85 |
journal={arXiv preprint arXiv:2503.00803},
|
| 86 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 87 |
```
|
| 88 |
|
| 89 |
And our excellent collaborators works as followings:
|
|
|
|
| 28 |
You can try following methods in [our OpenSceneFlow](https://github.com/KTH-RPL/OpenSceneFlow) without any effort to make your own benchmark.
|
| 29 |
|
| 30 |
Officially:
|
| 31 |
+
- [x] [DeltaFlow](https://arxiv.org/abs/2508.17054) (Ours π): NeurIPS 2025, spotlight
|
| 32 |
+
- [x] [HiMo (SeFlow++)](https://arxiv.org/abs/2503.00803) (Ours π): T-RO 2025
|
| 33 |
- [x] [VoteFlow](https://arxiv.org/abs/2503.22328): CVPR 2025
|
| 34 |
- [x] [SSF](https://arxiv.org/abs/2501.17821) (Ours π): ICRA 2025
|
| 35 |
- [x] [Flow4D](https://ieeexplore.ieee.org/document/10887254): RA-L 2025
|
|
|
|
| 41 |
- [x] [FastFlow3d](https://arxiv.org/abs/2103.01306): RA-L 2021
|
| 42 |
- [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).
|
| 43 |
- [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.
|
| 44 |
+
- [x] [FastNSF](https://arxiv.org/abs/2304.09121): ICCV 2023.
|
| 45 |
+
- [ ] [ICP-Flow](https://arxiv.org/abs/2402.17351): CVPR 2024. Done coding, wait after review approval.
|
| 46 |
- [ ] ... more on the way
|
| 47 |
|
| 48 |
</details>
|
|
|
|
| 86 |
year={2025},
|
| 87 |
journal={arXiv preprint arXiv:2503.00803},
|
| 88 |
}
|
| 89 |
+
@article{zhang2025deltaflow,
|
| 90 |
+
title={{DeltaFlow}: An Efficient Multi-frame Scene Flow Estimation Method},
|
| 91 |
+
author={Zhang, Qingwen and Zhu, Xiaomeng and Zhang, Yushan and Cai, Yixi and Andersson, Olov and Jensfelt, Patric},
|
| 92 |
+
year={2025},
|
| 93 |
+
journal={arXiv preprint arXiv:2508.17054},
|
| 94 |
+
}
|
| 95 |
```
|
| 96 |
|
| 97 |
And our excellent collaborators works as followings:
|