CVPR2024
Learning the 3D Fauna of the Web
Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu
摘要
Figure 1. Learning Diverse 3D Animals from the Internet. Our method, 3D-Fauna, learns a pan-category deformable 3D model of more than 100 different animal species using only 2D Internet images as training data. At test time, the model can turn a single image of an quadruped instance into an articulated, textured 3D mesh in a feed-forward manner, ready for animation and rendering.