FOSUP:动态服装扩散与富里埃球体解封从单眼视频
IEEE transactions on visualization and computer graphics
|October 24, 2025
概括
本研究介绍了一种基于扩散的新型框架,用于从单眼视频动态重建服装. 它使用一种独特的2D表示,Fourier Spherical Unwrapping (FOSUP),以实现准确而强大的3D服装运动捕捉.
科学领域:
- 计算机视觉 计算机视觉
- 三维重建的3D重建
- 虚拟试用技术的技术
背景情况:
- 从单眼视频进行动态服装重建对于虚拟试穿至关重要,但也面临着挑战.
- 现有的方法在交叉对应,稳定的拓和宽松服装的刚性文物方面扎.
研究的目的:
- 开发一个强大的框架,使用单眼视频进行动态服装重建.
- 为了克服先前方法在捕捉精确的服装运动和拓学的局限性.
主要方法:
- 一个基于扩散的T姿态服装生成器创建了一个称为FOurier球形解封 (FOSUP) 的2D表示.
- 通过快速里埃转换 (FFT) 和反向FFT,FOSUP可以实现双向映射到3D网格.
- 一个点转换网络映射了FOSUP,为指导3D重建提供了空间.
主要成果:
- 拟议的框架显著提高了动态服装重建中的性能和稳定性.
- FOSUP表示保持空间秩序和相邻性,这对于准确的运动捕捉至关重要.
- 为了训练和验证框架,创建了一个大型服装MoCap数据集.
结论:
- 基于打开包装的表现和传播框架在动态服装重建方面取得了重大进展.
- 这种方法有效地解决了与服装运动和拓学相关的挑战,改善了虚拟试用应用程序.
- 开发的框架和数据集为更现实的和稳定的虚拟服装模拟铺平了道路.
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