README.md

---
license: apache-2.0
library_name: diffusers
tags:
- computer-vision
- video-editing
- video-to-video
- diffusion
- flow-matching
- cvpr2026
---

# [CVPR 2026] PropFly: Learning to Propagate via On-the-Fly Supervision from Pre-trained Video Diffusion Models

<div align="left">
  <a href="https://kaist-viclab.github.io/PropFly_site/"><img src="https://img.shields.io/badge/Project-Page-blue" alt="Project Page"></a>
  <a href="https://arxiv.org/abs/2602.20583"><img src="https://img.shields.io/badge/arXiv-2602.20583-b31b1b.svg" alt="arXiv"></a>
  <a href="https://github.com/pmjames16/PropFly"><img src="https://img.shields.io/badge/GitHub-Code-black?logo=github" alt="GitHub"></a>
</div>

Official model weights for **PropFly**. 

PropFly is a novel training pipeline for propagation-based video editing that eliminates the need for large-scale, paired (source and edited) video datasets. Instead, it leverages on-the-fly supervision from pre-trained Video Diffusion Models (VDMs).


## Model Description

Propagation-based video editing enables precise user control by propagating a single edited frame into subsequent frames while maintaining the original context. Our proposed method, **PropFly**, achieves this by:

1. **On-the-Fly Supervision:** Utilizing a frozen pre-trained VDM to synthesize structurally aligned yet semantically distinct source (low-CFG) and target (high-CFG) latent pairs on the fly.
2. **Guidance-Modulated Flow Matching (GMFM):** Training an adapter to learn propagation by predicting the VDM's high-CFG velocity, conditioned on the source video structure and the edited first frame style via GMFM loss.

This approach ensures temporally consistent and dynamic transformations, significantly outperforming state-of-the-art methods on various video editing tasks (evaluated on EditVerseBench and TGVE benchmarks).

## Repository Structure

The model weights are stored in the `PropFly-1.3B/` directory.

```text
├── PropFly-1.3B/
│   ├── diffusion_pytorch_model.bin  # Model weights
├── .gitattributes
└── README.md
```

## Citation
```text
@article{seo2026propfly,
  title={PropFly: Learning to Propagate via On-the-Fly Supervision from Pre-trained Video Diffusion Models},
  author={Seo, Wonyong and Moon, Jaeho and Lee, Jaehyup and Kim, Soo Ye and Kim, Munchurl},
  journal={arXiv preprint arXiv:2602.20583},
  year={2026}
}
```