| --- |
| 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* · |
| <a href="https://ttchengab.github.io/">Ta-Ying Cheng</a>² · |
| <a href="https://scholar.google.com/citations?user=xkX9W9QAAAAJ&hl=en">Benjamin Klein</a>² · |
| <a href="https://yisongyue.com/">Yisong Yue</a>² · |
| <a href="https://zhuoning.cc/">Zhuoning Yuan</a>²† |
| </p> |
|
|
| <p align="left"> |
| ¹California Institute of Technology ²Netflix, Inc.<br> |
| <sub>*Work done during an internship at Netflix †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} |
| } |
| ``` |
