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metazlb/PhysicTran38K

PhysicTran38K We provide 38K video-based dataset for physics-aware image editing, by casting editing as physical state transitions. To know the details of the dataset creation pipeline, please refer to Section 3.2 of [1]. Dataset Download and Loading huggingface-cli download diffusion-cot/PhysicTran38K --local-dir /path/to/data_path Then please refer to our training code for data loading. ✍️ Citation If you find our work inspiring or use our… See the full description on the dataset page: https://huggingface.co/datasets/metazlb/PhysicTran38K.

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face
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PhysicTran38K

<div align="center"> <img src="data.jpg" style="width: 70%;"/> </div>

We provide 38K video-based dataset for physics-aware image editing, by casting editing as physical state transitions. To know the details of the dataset creation pipeline, please refer to Section 3.2 of [1].

Dataset Download and Loading

bash
huggingface-cli download diffusion-cot/PhysicTran38K --local-dir /path/to/data_path

Then please refer to our training code for data loading.

✍️ Citation

If you find our work inspiring or use our codebase in your research, please consider giving a star ⭐ and a citation~

@article{zhao2026statics,
  title={From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors},
  author={Zhao, Liangbing and Zhuo, Le and Paul, Sayak and Li, Hongsheng and Elhoseiny, Mohamed},
  journal={arXiv preprint arXiv:2602.21778},
  year={2026}
}
metazlb/PhysicTran38K · CoolFace