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DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction
Beyond the SMPL, which provides skinned parametric human 3D information, in this paper, we propose a new IF-based method, DIFu, that utilizes a projected depth prior containing textured and non-parametric human 3D information.
Twin-Net Descriptor: Twin Negative Mining With Quad Loss for Patch-Based Matching
Our results on Brown and HPatches datasets demonstrate Twin-Net's consistently better performance as well as better discriminatory and generalization capability as compared to the state-of-art.
Ranked #1 on
Patch Matching
on HPatches
