The key challenge for 3D face shape reconstruction is to build the correct dense face correspondence between the deformable mesh and the single input image.
The key challenge for 3D face shape reconstruction is to build the correct dense face correspondence between the deformable mesh and the single input image.
The key challenge for 3D face shape reconstruction is to build the correct dense face correspondence between the deformable mesh and the single input image.
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The key challenge for 3D face shape reconstruction is to build the correct dense face correspondence between the deformable mesh and the single input image.
This work introduces a new free-form deformation layer that sits on top of 3DMM to enjoy both the prior knowledge and out-of-space modeling, and makes the ...
1. We introduce “ReDA”, a reinforced differentiable at-. tribute framework, for better face reconstruction and · 2. We propose a free-form deformation layer with ...
reinforced differentiable attribute for 3d face reconstruction
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Nov 18, 2021 · Techniques performed by a data processing system for reconstructing a three-dimensional (3D) model of the face of a human subject herein ...
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This is an embedded video. Talk and the respective paper are published at CVPR 2020 virtual conference. If you are one of the authors of the paper and want to ...
ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction Wenbin Zhu, HsiangTao Wu, Zeyu Chen, Noranart Vesdapunt, Baoyuan Wang [pdf]. Towards High ...