CVPR2025
Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
Leonhard Sommer, Olaf Dünkel, Christian Theobalt, Adam Kortylewski
摘要
Figure 1. Common3D learns category-specific 3D morphable models from few casually captured videos completely self-supervised, and can estimate the 3D object shape (visualized from two viewpoints), 2D-3D correspondences, and the 3D object pose via inverse rendering.