---
license: apache-2.0
base_model:
- Wan-AI/Wan2.2-I2V-A14B
pipeline_tag: video-to-video
---

# VGC: Learning to Correct Geometry in Generated Videos

**NeurIPS 2026** | [Code](https://github.com/weijielyu/VGC) | [Project Page](https://www.wlyu.me/VGC/)

Video Geometry Corrector (VGC) is a post-hoc video-to-video model that corrects geometry distortions in generated videos (warped structures, inconsistent parallax, drifting scene layouts) without modifying the source generator.

For usage instructions, see the [official code repository](https://github.com/weijielyu/VGC).

## Contents

- **wan22**: Release version of the VGC Wan2.2-I2V-A14B MoE model (720p, no optical flow), fine-tuned from Wan2.2-I2V-A14B
  - `release_no_flow_high_noise.pth`: high-noise expert
  - `release_no_flow_low_noise.pth`: low-noise expert

## Citation

```bibtex
@inproceedings{lyu2026vgc,
    title={Learning to Correct Geometry in Generated Videos},
    author={Lyu, Weijie and Shen, Tiancheng and Li, Xiangtai and Wang, Yujing and Wang, Xiaoyuan and Yuan, Haobo and Zhao, Yizhou and Yang, Ming-Hsuan},
    booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
    year={2026}
}
```