MoDA: modeling deformable 3D objects from casual videos

• Main Authors: Song, Chaoyue, Wei, Jiacheng, Chen, Tianyi, Chen, Yiwen, Foo, Chuan-Sheng, Liu, Fayao, Lin, Guosheng
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; 3D reconstruction from videos; Deformable neural radiance fields
• Online Access: https://hdl.handle.net/10356/182305
• Institution: Nanyang Technological University

In this paper, we focus on the challenges of modeling deformable 3D objects from casual videos. With the popularity of NeRF, many works extend it to dynamic scenes with a canonical NeRF and a deformation model that achieves 3D point transformation between the observation space and the canonical spac...