Jul 25, 2023 · We present a novel method for reconstructing clothed humans from a sparse set of, eg, 1 to 6 RGB images.
Aug 21, 2023 · We develop a memory and computation-efficient method for high-resolution volumetric reconstruction using sophisticated sparse 3D CNN, coarse-to- ...
Jul 25, 2023 · Our method reconstructs a textured 3D model of clothed humans from sparse multi-view images. It recovers detailed geometry with vivid texture, ...
Reconstructing 3D clothed human involves creating a detailed geometry of individuals in clothing, with applications ranging from virtual try-on, movies, ...
We present a novel method for reconstructing clothed humans from a sparse set of, e.g., 1 to 6 RGB images. Despite impressive results from recent works ...
LayerNet: High-Resolution Semantic 3D Reconstruction of Clothed People
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Nov 14, 2023 · LayerNet, a deep network that given a single image of a person simultaneously performs detailed 3D reconstruction of body and clothes.
DescriptionWe present a novel method for reconstructing clothed humans from a sparse set of, e.g., 1-6 RGB images. We revisit the volumetric approach and ...
LayerNet, a deep network that given a single image of a person simultaneously performs detailed 3D reconstruction of body and clothes.
Abstract—In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry;.
In this study, we developed a method for reconstruct- ing high quality 3D clothed human from calibrated sparse multi-view images. Herein, the 2D features are ...