Coarse-to-fine Animal Pose and Shape Estimation

Investigator: Gim Hee Lee.

Most existing animal pose and shape estimation approaches reconstruct animal meshes with a parametric SMAL model. However, the SMAL model is learned from scans of toy animals with limited pose and shape variations, and thus may not be able to represent highly varying real animals well. To mitigate this problem, we propose a coarse-to-fine approach to reconstruct 3D animal mesh from a single image.