netflix/Vera-Layered-Video-Dataset

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

Hongkai Zheng¹˒²˒*  ·  Ta-Ying Cheng²  ·  Benjamin Klein²  ·  Yisong Yue¹  ·  Zhuoning Yuan²˒†

¹California Institute of Technology    ²Netflix, Inc.
_{*Work done during an internship at Netflix   †Project Lead}

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.

📋 Dataset Description

• Curated by: Hongkai Zheng, Ta-Ying Cheng, Benjamin Klein, Yisong Yue, Zhuoning Yuan
• License: Apache License 2.0
• Paper: Vera: A Layered Diffusion Model for Content-Preserving Video Editing

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📦 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

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🗂️ Data Sources

🏋️ Training Set

Source	License
Pexels	Pexels License
Mixkit	Mixkit License
VideoMatte240K	MIT License

🧪 Test Set

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

Source	License
DAVIS	CC BY-NC 4.0
VACEBench	Apache License 2.0

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📝 Citation

@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},
    year      = {2026}
}