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README.md

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DeltaFlow
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Status: Under Review 🚀
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[![arXiv](https://img.shields.io/badge/arXiv-2508.17054-b31b1b?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2508.17054)
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<!-- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/seflow-a-self-supervised-scene-flow-method-in/self-supervised-scene-flow-estimation-on-1)](https://paperswithcode.com/sota/self-supervised-scene-flow-estimation-on-1?p=seflow-a-self-supervised-scene-flow-method-in) -->
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<!-- [![poster](https://img.shields.io/badge/ECCV24|Poster-6495ed?style=flat&logo=Shotcut&logoColor=wihte)](https://hkustconnect-my.sharepoint.com/:b:/g/personal/qzhangcb_connect_ust_hk/EWyWD-tAX4xIma5U7ZQVk9cBVjsFv0Y_jAC2G7xAB-w4cg?e=c3FbMg) -->
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<!-- [![video](https://img.shields.io/badge/video-YouTube-FF0000?logo=youtube&logoColor=white)](https://youtu.be/fQqx2IES-VI) -->
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We appreciate your interest! The work is actively under peer review.
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Status: Under Review 🚀
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We will release the full codebase, trained models, supplementary materials and all baselines upon acceptance and publication. It may around early October 2025.
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We will release the full codebase, trained models, supplementary materials and all baselines upon acceptance and publication.
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Stay tuned and feel free to star ⭐ this repository to get notified when we publish.
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🔗 While you wait, explore our codebase: [KTH-RPL/OpenSceneFlow](https://github.com/KTH-RPL/OpenSceneFlow).
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- 2025/08/24: I'm updating some codes for early release. Please be patient.
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- 2025/08/24: Updating train data augmentation as illustrated in the DeltaFlow paper.
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**News w. TBD**:
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- 2025/08/24: I'm updating some codes for early release.
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- [x] 2025/08/24: Updating train data augmentation as illustrated in the DeltaFlow paper.
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- [x] 2025/08/25: Updating paper preprint link.
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- [ ] DeltaFlow Model python file.
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- [ ] pre-trained weights upload.
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- [ ] DeltaFlow Loss fn.
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- [ ] Merged into [OpenSceneFlow](https://github.com/KTH-RPL/OpenSceneFlow)
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## Cite & Acknowledgements
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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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This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation and Prosense (2020-02963) funded by Vinnova.

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