Unsupervised 3D pose transfer with cross consistency and dual reconstruction

• Main Authors: Song, Chaoyue, Wei, Jiacheng, Li, Ruibo, Liu, Fayao, Lin, Guosheng
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; 3D Pose Transfer; Conditional Normalization Layer
• Online Access: https://hdl.handle.net/10356/172191
• Institution: Nanyang Technological University

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...