تقرير
Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration
| العنوان: | Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration |
|---|---|
| المؤلفون: | Guo, Jingfan, Prada, Fabian, Xiang, Donglai, Romero, Javier, Wu, Chenglei, Park, Hyun Soo, Shiratori, Takaaki, Saito, Shunsuke |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | Registering clothes from 4D scans with vertex-accurate correspondence is challenging, yet important for dynamic appearance modeling and physics parameter estimation from real-world data. However, previous methods either rely on texture information, which is not always reliable, or achieve only coarse-level alignment. In this work, we present a novel approach to enabling accurate surface registration of texture-less clothes with large deformation. Our key idea is to effectively leverage a shape prior learned from pre-captured clothing using diffusion models. We also propose a multi-stage guidance scheme based on learned functional maps, which stabilizes registration for large-scale deformation even when they vary significantly from training data. Using high-fidelity real captured clothes, our experiments show that the proposed approach based on diffusion models generalizes better than surface registration with VAE or PCA-based priors, outperforming both optimization-based and learning-based non-rigid registration methods for both interpolation and extrapolation tests. Comment: Project page: https://www-users.cse.umn.edu/~guo00109/projects/3dv2024/ |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2311.05828 |
| رقم الأكسشن: | edsarx.2311.05828 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |