Blame for README.md

---
library_name: diffusers
base_model: stabilityai/stable-video-diffusion-img2vid
tags:
- video-restoration
- video-refocusing
- video-diffusion
- lora
license: other
license_name: stable-video-diffusion-community
license_link: https://huggingface.co/nickchiu/Refocusing-Any-Video/blob/main/LICENSE-SVD.txt
---

# Refocusing Any Video: Temporally Consistent Video Refocusing for Dynamic Focal Planes

**SIGGRAPH Asia 2026**

Chee Kim Gan, [Pin-Yen Chiu](https://itsnickchiu.github.io/), I-Sheng Fang, Jun-Cheng Chen  
Research Center for Information Technology Innovation, Academia Sinica

Inference checkpoints for Refocusing Any Video (RAV). **Video Defocus Deblurring (VDD)** recovers an all-in-focus video; **Video Bokeh Rendering (VBR)** refocuses it using depth and a chosen focal plane. Optional identity adapters guide face restoration.

[Source code and inference instructions](https://github.com/aiiu-lab/Refocusing-Any-Video)

## Release status

- [x] Inference code and pretrained checkpoints
- [ ] Training code — being prepared for a future release

## Checkpoints

| Folder | Contents |
| --- | --- |
| `vdd_weights/checkpoint-90000/` | VDD LoRA weights |
| `vbr_weights/checkpoint-100000/` | VBR LoRA weights and required input convolution |
| `identity_adapter/` | Identity Adapter |
| `identity_adapter_track4gen/` | Identity Adapter with Track4Gen Refiner |
| `facenet/` | MTCNN face detector weights |

## Download and inference

After setting up the [code environment](https://github.com/aiiu-lab/Refocusing-Any-Video#environment), run from the cloned code repository root:

```bash
python tools/checkpoints/transfer_checkpoints.py download \
  --repo-id nickchiu/Refocusing-Any-Video --local-dir ./checkpoints
```

Download SVD, Video Depth Anything, and the auxiliary face models separately using the [checkpoint guide](https://github.com/aiiu-lab/Refocusing-Any-Video/blob/main/checkpoints/README.md), then follow the [inference example](https://github.com/aiiu-lab/Refocusing-Any-Video#inference). These adapters require the code and SVD base model. Generated details may differ from the original scene.

## Models and licenses

RAV uses Stable Video Diffusion (SVD), Video Depth Anything, FaRL, ArcFace, OpenAI CLIP, and facenet-pytorch.

SVD and applicable derivatives are subject to the [SVD license](LICENSE-SVD.txt) and [NOTICE](NOTICE.txt). **Powered by Stability AI** (attribution required by the SVD license). MTCNN retains its [MIT license](facenet/LICENSE.md); other models follow their providers' terms. An additional project-specific license has not yet been specified.

## Citation

If you use this work, please cite:

```bibtex
@misc{gan2026refocusinganyvideo,
  title  = {Refocusing Any Video: Temporally Consistent Video Refocusing for Dynamic Focal Planes},
  author = {Gan, Chee Kim and Chiu, Pin-Yen and Fang, I-Sheng and Chen, Jun-Cheng},
  year   = {2026},
  note   = {SIGGRAPH Asia 2026},
  url    = {https://github.com/aiiu-lab/Refocusing-Any-Video}
}
```