2023
Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects
ICCV 2023poster
Learning 3D shape representation with dense correspondence for deformable objects is a fundamental problem in computer vision. Existing approaches often need additional annotations of specific semantic domain, e.g., skeleton pose for human body or animals, which require extra annotation effort and s…