---
license: apache-2.0
task_categories:
- text-to-video
tags:
- diffusion
- layered-diffusion
- video
- layered-video-dataset
- video-editing
- video-generation
---

# Dataset for Vera: A Layered Diffusion Model for Content-Preserving Video Editing

<p align="left">
  <a href="https://devzhk.github.io/">Hongkai Zheng</a>¹²* &nbsp;&middot;&nbsp;
  <a href="https://ttchengab.github.io/">Ta-Ying Cheng</a>² &nbsp;&middot;&nbsp;
  <a href="https://scholar.google.com/citations?user=xkX9W9QAAAAJ&hl=en">Benjamin Klein</a>² &nbsp;&middot;&nbsp;
  <a href="https://yisongyue.com/">Yisong Yue</a>² &nbsp;&middot;&nbsp;
  <a href="https://zhuoning.cc/">Zhuoning Yuan</a>²†
</p>

<p align="left">
  ¹California Institute of Technology &nbsp;&nbsp; ²Netflix, Inc.<br>
  <sub>*Work done during an internship at Netflix &nbsp; †Project Lead</sub>
</p>

<p align="left">
  <a href="https://vera-layered-diffusion.github.io/"><img src="https://img.shields.io/badge/🌐-Project%20Page-blue" alt="Project Page"></a>
  <a href="https://arxiv.org/abs/2606.23610"><img src="https://img.shields.io/badge/arXiv-Paper-b31b1b?logo=arxiv&logoColor=white" alt="Paper"></a>
  <a href="https://huggingface.co/datasets/netflix/Vera-Layered-Video-Dataset"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Dataset-ff9d00" alt="Dataset"></a>
  <a href="#"><img src="https://img.shields.io/badge/License-Apache%202.0-green.svg" alt="License"></a>
</p>

> **TL;DR**: A layered diffusion framework for video editing. Vera jointly generates an edit layer, an alpha matte, and a composite video, separating what to generate from what to preserve.
>
> **Disclaimer:** This is a research prototype, not an official product.

<p align="left">
  <video src="https://vera-layered-diffusion.github.io/assets/videos/vera-promo-video-v5-0.7x.mp4" width="50%" controls autoplay loop muted playsinline></video>
</p>

## 📋 Dataset Description

- **Curated by:** [Hongkai Zheng](https://devzhk.github.io/), [Ta-Ying Cheng](https://ttchengab.github.io/), [Benjamin Klein](https://scholar.google.com/citations?user=xkX9W9QAAAAJ&hl=en), [Yisong Yue](https://yisongyue.com/), [Zhuoning Yuan](https://zhuoning.cc/)
- **License:** [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)
- **Paper:** [Vera: A Layered Diffusion Model for Content-Preserving Video Editing](https://arxiv.org/abs/2606.23610)

---

## 📦 Dataset Structure

### 🎞️ Splits — 49 Frames (3 sec)

**Note:** The current Vera models are trained on 49-frame sequences.

| Split                                          | Edit Type          | # Samples  |
| ---------------------------------------------- | ------------------ | ---------- |
| train / 49-frames / realistic-set1-bg-change   | background_replace | 914        |
| train / 49-frames / realistic-set1-obj-add     | obj_add            | 470        |
| train / 49-frames / realistic-set2-obj-add     | obj_add            | 770        |
| train / 49-frames / synthetic-bg-change        | background_replace | 4,994      |
| train / 49-frames / synthetic-obj-add          | obj_add            | 4,848      |
| **49-Frame Train Total**                       |                    | **11,996** |

### 🎞️ Splits — 81 Frames (5 sec)

| Split                                          | Edit Type          | # Samples  |
| ---------------------------------------------- | ------------------ | ---------- |
| train / 81-frames / realistic-set1-bg-change   | background_replace | 457        |
| train / 81-frames / realistic-set1-obj-add     | obj_add            | 235        |
| train / 81-frames / realistic-set2-obj-add     | obj_add            | 385        |
| train / 81-frames / synthetic-bg-change        | background_replace | 2,497      |
| train / 81-frames / synthetic-obj-add          | obj_add            | 2,431      |
| **81-Frame Train Total**                       |                    | **6,005**  |

### 🧪 Test Splits

| Split             | Edit Type          | # Samples |
| ----------------- | ------------------ | --------- |
| test / bg-change  | background_replace | 69        |
| test / obj-add    | obj_add            | 72        |
| **Test Total**    |                    | **141**   |

---

## 🗂️ Data Sources

### 🏋️ Training Set

| Source                                                                            | License                                                                     |
| --------------------------------------------------------------------------------- | --------------------------------------------------------------------------- |
| [Pexels](https://www.pexels.com/)                                                 | [Pexels License](https://www.pexels.com/license/)                           |
| [Mixkit](https://mixkit.co/)                                                      | [Mixkit License](https://mixkit.co/license/)                                |
| [VideoMatte240K](https://grail.cs.washington.edu/projects/background-matting-v2/) | [MIT License](https://github.com/PeterL1n/BackgroundMattingV2/issues/208)   |

### 🧪 Test Set

The test set is sourced from the training sources above, plus:

| Source                                              | License                                                           |
| --------------------------------------------------- | ----------------------------------------------------------------- |
| [DAVIS](https://davischallenge.org/)                | [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)   |
| [VACEBench](https://ali-vilab.github.io/VACE-page/) | [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0) |

---

## 📝 Citation

```bibtex
@article{zheng2026vera,
    title     = {Vera: A Layered Diffusion Model for Content-Preserving Video Editing},
    author    = {Zheng, Hongkai and Cheng, Ta-Ying and Klein, Benjamin and Yue, Yisong and Yuan, Zhuoning},
    journal   = {arXiv preprint arXiv:2606.23610},
    year      = {2026}
}
```