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English(EN) LiveVVT: High-Fidelity Video Virtual Try-On in Real Time

LiveVVT 通过新颖的流式扩散实现实时视频虚拟试穿

研究人员开发了 LiveVVT,一个用于实时、高保真视频虚拟试穿的新颖框架。该系统通过采用滚动流式扩散方法,解决了现有基于扩散方法的延迟和计算挑战。LiveVVT 在固定大小的窗口内保持局部双向交互,同时利用时间和全局外观记忆来确保长期一致性和服装细节。 AI

影响 LiveVVT 显著降低了视频虚拟试穿的延迟并提高了吞吐量,有可能为电子商务和虚拟试穿带来新的实时应用。

排序理由 这是一篇详细介绍视频虚拟试穿新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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LiveVVT 通过新颖的流式扩散实现实时视频虚拟试穿

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这是一篇详细介绍视频虚拟试穿新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yushe Cao, Shikun Feng, Ruxiang Duan, Liyong Wang, Dianxi Shi, Chun Yu, Junliang Xing ·

    LiveVVT:实时高保真视频虚拟试穿

    arXiv:2608.26714v1 Announce Type: cross Abstract: Diffusion-based Video Virtual Try-On (VVT) achieves high visual fidelity through bidirectional spatio-temporal modeling, but complete-clip dependence incurs prohibitive latency and computational overhead in practical continuous de…