Unsupervised 3D pose transfer with cross consistency and dual reconstruction

• المؤلفون الرئيسيون: Song, Chaoyue, Wei, Jiacheng, Li, Ruibo, Liu, Fayao, Lin, Guosheng
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; 3D Pose Transfer; Conditional Normalization Layer
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/172191

The goal of 3D pose transfer is to transfer the pose from the source mesh to the target mesh while preserving the identity information (e.g., face, body shape) of the target mesh. Deep learning-based methods improved the efficiency and performance of 3D pose transfer. However, most of them are train...