标题： RealVVT：通过时空一致性实现逼真视频虚拟试穿 显示英文标题

标题： RealVVT: Towards Photorealistic Video Virtual Try-on via Spatio-Temporal Consistency

摘要： 虚拟试穿已成为计算机视觉和时尚交叉领域的一个关键任务，旨在数字模拟服装在人体上的穿着效果。 尽管单图像虚拟试穿（VTO）取得了显著进展，但当前的方法往往难以在长视频序列中保持服装的一致且真实的外观。 这一挑战源于捕捉动态人体姿势和保持目标服装特征的复杂性。 我们利用现有的视频基础模型，引入了RealVVT，这是一种针对动态视频环境中的稳定性和真实感进行增强的逼真视频虚拟试穿框架。 我们的方法包括一种服装与时间一致性策略，一种无感知引导的关注焦点损失机制以确保空间一致性，以及一种姿态引导的长视频VTO技术，能够有效处理长视频序列。广泛的实验表明，我们的方法在单图像和视频VTO任务中均优于现有的最先进模型，为时尚电子商务和虚拟试穿环境中的实际应用提供了一个可行的解决方案。 显示英文摘要

摘要： Virtual try-on has emerged as a pivotal task at the intersection of computer vision and fashion, aimed at digitally simulating how clothing items fit on the human body. Despite notable progress in single-image virtual try-on (VTO), current methodologies often struggle to preserve a consistent and authentic appearance of clothing across extended video sequences. This challenge arises from the complexities of capturing dynamic human pose and maintaining target clothing characteristics. We leverage pre-existing video foundation models to introduce RealVVT, a photoRealistic Video Virtual Try-on framework tailored to bolster stability and realism within dynamic video contexts. Our methodology encompasses a Clothing & Temporal Consistency strategy, an Agnostic-guided Attention Focus Loss mechanism to ensure spatial consistency, and a Pose-guided Long Video VTO technique adept at handling extended video sequences.Extensive experiments across various datasets confirms that our approach outperforms existing state-of-the-art models in both single-image and video VTO tasks, offering a viable solution for practical applications within the realms of fashion e-commerce and virtual fitting environments.