
SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed …
At the core of our framework is our novel self-evolved signed distance field (SeSDF) module which allows the framework to learn to deform the signed distance field (SDF) derived from the …
SeSDF: Self-evolved Signed Distance Field for Implicit 3D ... - GitHub
At the core of our framework is our novel self-evolved signed distance field (SeSDF) module which allows the framework to learn to deform the signed distance field (SDF) derived from the …
SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed …
2023年4月1日 · At the core of our framework is our novel self-evolved signed distance field (SeSDF) module which allows the framework to learn to deform the signed distance field …
In this paper, to extract more clothed human details flex-ibly and robustly from a single RGB image or uncalibrated multi-view RGB images, we present a novel framework, named SeSDF, …
SeSDF: Self-evolved Signed Distance Field for Implicit 3D ... - ar5iv
In this paper, to extract more clothed human details flexibly and robustly from a single RGB image or uncalibrated multi-view RGB images, we present a novel framework, named SeSDF, that …
CVPR 2023 Open Access Repository
At the core of our framework is our novel self-evolved signed distance field (SeSDF) module which allows the framework to learn to deform the signed distance field (SDF) derived from the …
SeSDF: Self-evolved Signed Distance Field for Implicit
2023年4月1日 · At the core of our framework is our novel self-evolved signed distance field (SeSDF) module which allows the framework to learn to deform the signed distance field (SDF)...
SeSDF: Self-Evolved Signed Distance Field for Implicit 3D ... - IEEE …
We address the problem of clothed human reconstruction from a single image or uncalibrated multiview images. existing methods struggle with reconstructing detailed geometry of a clothed …
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse …
Our 3DFG-PIFu makes use of 3D Feature Grids to combine features from V images in a global manner (rather than point-wise or localized) and throughout the pipeline. Other than the 3D …
sesdff-CSDN博客
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