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zheng zhedong
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This research aims to study a self-supervised 3D clothing reconstruction method, which recovers the geometry 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...
3D Magic Mirror from a Single Image
Recovers 3D shape and texture of human from a single image
We propose a causality-aware self-supervised learning method to adaptively reconstruct 3D non-rigid objects from 2D images without 3D annotations.
3D Magic Mirror from a Single Image
Recovers 3D shape and texture of human from a single image