Author

Fei Shen

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Preprint Aug 2026

UniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on

UniVVT is presented, a unified end-to-end framework that reframes VVT as semantically conditioned video generation, eliminating mask, pose, and warping modules at inference and validating implicit semantic guidance as a simple and effective alternative to fragile geometric preprocessing for end-to-end virtual try-on.

Yushe Cao, Shikun Feng, Fei Shen et al. · 0 citations