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FlatSounds is released under CC BY-NC 4.0: you may use it for non-commercial purposes only, with attribution.
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FlatSounds
Videos and annotations of FlatSounds, a benchmark for physical video-to-audio generation (CVPR 2026). The evaluation code, documentation and leaderboard are at github.com/Tinglok/flatsounds.
| Path | Content |
|---|---|
benchmark_warped_clips/ |
542 FlatSounds-Physics videos: the paper split uses 446, the verified split 462. In a video pair, the counterfactual video is time-warped so that its hits occur at the same times as in the factual video |
benchmark_clips_full/ |
185 FlatSounds-Single videos: the original recordings |
benchmark/physics_verified.json |
FlatSounds-Physics, verified split (default): 302 test cases, 724 tests |
benchmark/physics_paper.json |
FlatSounds-Physics, paper split: 268 test cases, 620 tests |
benchmark/single.json |
FlatSounds-Single clips: video, caption, duration and hit times |
The videos are 2.5-10 s long and keep their recorded sound: give your model only the video frames.
Download
Accept the access conditions on this page, log in with hf auth login, then:
hf download Tinglok/FlatSounds --repo-type dataset --local-dir FlatSounds
The GitHub README explains how to generate outputs and evaluate them.
License
The data is released under CC BY-NC 4.0; the evaluation code is MIT.
Citation
@inproceedings{li2026benchmarking,
title={Benchmarking Single-Factor Physical Video-to-Audio Generation},
author={Li, Tingle and Gururani, Siddharth and Shih, Kevin J. and Bhatt, Gantavya and Lee, Sang-gil and Kong, Zhifeng and Goel, Arushi and Anumanchipalli, Gopala and Liu, Ming-Yu},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2026}
}
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