Single-View 3D Garment Reconstruction Using Neural Volumetric Rendering
Yizheng Chen,
Rengan Xie,
Sen Yang
et al.
Abstract:Reconstructing 3D garment models usually requires laborious data-fetching processes, such as expensive lidar, multiple-view images, or SMPL models of the garments. In this paper, we propose a neat framework that takes single-image inputs for generating pseudo-sparse views of 3D garments and synthesizing multi-view images into a high-quality 3D neural model. Specifically, our framework combines a pretrained pseudo sparse view generator and a volumetric signed distance function (SDF) representationbased network … Show more
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