---
license: apache-2.0
pipeline_tag: image-to-video
tags:
- video-inpainting
- stereo-video
- monocular-to-stereo
- geometric-reciprocity
- pytorch
---

# GRT Video Inpaint Checkpoint

This repository hosts the released video inpainting checkpoint for **Geometric Reciprocity: Unlocking Self-Supervision for Stereoscopic Video Generation (ICML 2026)**.

- **Checkpoint:** `video_inpaint_large.pth`
- **Architecture:** Video inpainting transformer, large configuration
- **Use case:** Inpaint right-view disocclusion regions produced by GRT monocular-to-stereo inference
- **Code:** [github.com/Visual-AI/GRT](https://github.com/Visual-AI/GRT)
- **Project page:** [visual-ai.github.io/grt](https://visual-ai.github.io/grt/)
- **Paper:** [arXiv:2607.05354](https://arxiv.org/abs/2607.05354)

## Quick Use

```bash
git clone https://github.com/Visual-AI/GRT.git
cd GRT
pip install -r requirements.txt
python scripts/inference.py --input-video assets/example.mp4 --output-dir output/example --output-mode all
```

The inference script downloads this checkpoint automatically on first run.

## Citation

```bibtex
@inproceedings{lu2026grt,
  author    = {Jingyi Lu and Kai Han},
  title     = {Geometric Reciprocity: Unlocking Self-Supervision for Stereoscopic Video Generation},
  booktitle = {International Conference on Machine Learning (ICML)},
  year      = {2026},
}
```