Exploring Patchnets Patch Based Generalizable Deep Implicit 3d Shape Representations
Exploring Patchnets Patch Based Generalizable Deep Implicit 3d Shape Representations reveals several interesting facts.
- [CVPR 2021 Oral Paper]
- NeurIPS 2022 Paper Video Paper: https://arxiv.org/abs/2206.04916 Project webpage: ...
- This work proposes
- Code/Data and Paper: http://virtualhumans.mpi-inf.mpg.de/ifnets/ Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
- Surface mapping techniques have been commonly used for the alignment of cortical anatomy and the detection of gray matter ...
In-Depth Information on Patchnets Patch Based Generalizable Deep Implicit 3d Shape Representations
E. Tretschk, A. Tewari, V. Golyanik, M. Zollhoefer, C. Stoll, C. Theobalt ECCV 2020 Authors: Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas Funkhouser Description: The goal of this project is to ... Abstract: There has recently been an explosion of research on learning ... yeah i'm going to talk about learning
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