22 citations · 38 across the 15 of their papers we have counts for
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cs.CV2019
DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies
Soshi Shimada, Vladislav Golyanik, Edgar Tretschk +2
We introduce a supervised-learning framework for non-rigid point set alignment of a new kind - Displacements on Voxels Networks (DispVoxNets) - which abstracts away from the point…
cs.CV2019
IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction
Soshi Shimada, Vladislav Golyanik, Christian Theobalt +1
The majority of the existing methods for non-rigid 3D surface regression from monocular 2D images require an object template or point tracks over multiple frames as an input, and a…