3D Magic Mirror: clothing reconstruction from a single image via a causal perspective

Abstract This paper aims to study a self-supervised 3D clothing reconstruction method, which recovers the geometric shape and texture of human clothing from a single image. Compared with existing methods, we observe that three primary challenges remain: (1) 3D ground-truth meshes of clothing are usually inaccessible due to annotation difficulties and time costs; (2) Conventional template-based methods are limited in modeling non-rigid objects, e.g., handbags and dresses, which are common in fash