The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details Injection
Paper • 2512.20340 • Published • 2
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ViT-HD： the large-scale, high-definition dataset for video virtual try-on
Updates
2026/02/21: Our KeyTailor paper has been accepted at CVPR 2026.2025/12/24: The large-scale ViT-HD dataset is available.2025/12/24: Our KeyTailor paper is available.
Key Features
Dataset Comparison. We compare our ViT-HD with existing video virtual try-on datasets along four dimensions: resolution, garment diversity (multi-class), video content quality (no start-frame overexposure and intact subject integrity), and data scale.
Our proposed ViT-HD contains 15, 070 samples featuring 178
diverse garment styles, each with a resolution of 810×1080.
Dataset overview
An overview of ViT-HD is as follows:
Citation
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@InProceedings{He_2026_CVPR,
author = {He, Qingdong and Chen, Xueqin and Pan, Yanjie and Tang, Peng and Xu, Pengcheng and Gan, Zhenye and Wang, Chengjie and Hu, Xiaobin and Zhang, Jiangning and Wang, Yabiao},
title = {The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details Injection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2026},
pages = {9182-9191}
}
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