[ECCV 2026] PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation
Model Description
Here are two models based on Wan2.1-1.3B and Wan2.1-14B for physically consistent text-to-video generation. The two models are post-trained by our re-implemented PhyGDPO algorithm on public datasets.
| (1) A gymnast drops from the parallel bars and lands safely on the mat below. | ||
| Ours | OpenAI Sora 2 | Google Veo 3.1 |
| (2) A soccer player runs, plants their foot, and drop-kicks a soccer ball high into the air, with the ball visibly arcing through the air. | ||
| Ours | OpenAI Sora 2 | Google Veo 3.1 |
| (3) A person wearing a helmet performs a handspring over a platform. | ||
| Ours | OpenAI Sora 2 | Google Veo 3.1 |
| (4) A person plays squash on an indoor court. | ||
| Ours | OpenAI Sora 2 | Google Veo 3.1 |
Download checkpoints
The root config.json lists this repository's checkpoints, supporting files, and implementation. Include it when downloading selected weights so those downloads can be counted by the Hugging Face Hub. Use the linked implementation and its matching runtime configuration to load the checkpoints.
pip install -U huggingface_hub
hf download CaiYuanhao/PhyGDPO --include "config.json" "*.safetensors" --local-dir PhyGDPO
Github Code Link
This dataset is intended to be used together with our code. Please refer to the GitHub repository below for more detailed instructions.
https://github.com/caiyuanhao1998/Open-PhyGDPO
Huggingface Dataset Link
We also release three models based on Wan2.1-1.3B and Wan2.1-14B in the following link:
https://huggingface.co/datasets/CaiYuanhao/PhyGDPO
Project Page Link
For more video customization results, please refer to our project page:
https://caiyuanhao1998.github.io/project/PhyGDPO/
Meta AI Research Report
Arxiv Paper Link
For more technical details, please refer to our ECCV 2026 paper:
https://arxiv.org/abs/2512.24551
知乎中文解读
https://zhuanlan.zhihu.com/p/2060200098131350370
Citation
If you find our code, data, and models useful, please consider citing our paper:
@inproceedings{phygdpo,
title={PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation},
author={Cai, Yuanhao and Li, Kunpeng and Jia, Menglin and Wang, Jialiang and Sun, Junzhe and Liang, Feng and Chen, Weifeng and Juefei-Xu, Felix and Wang, Chu and Thabet, Ali and Dai, Xiaoliang and Ju, Xuan and Yuille, Alan and Hou, Ji},
booktitle={ECCV},
year={2026}
}