Understanding Deep Geometric Functional Maps Robust Feature Learning For Shape Correspondence
Exploring Deep Geometric Functional Maps Robust Feature Learning For Shape Correspondence reveals several interesting facts. Authors: Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov Description: We present a novel
Key Takeaways about Deep Geometric Functional Maps Robust Feature Learning For Shape Correspondence
- Short presentation of the 3DV 2021 paper: "DPFM:
- Speaker: Alex Bronstein, Technion, Israel @VIRTUAL WORKSHOP ON MACHINE
- Authors: Farazi, Mohammad*; Zhu, Wenhui; Yang, Zhangsihao; Wang, Yalin Description: This paper studies 3D dense
- SGP2018 Graduate School | July 7-11 | Paris, France Speaker: Michael Bronstein, University of Lugano and Tel Aviv University ...
- Authors: Qinsong Li, Shengjun Liu, Ling Hu, Xinru Liu Description: Establishing
Detailed Analysis of Deep Geometric Functional Maps Robust Feature Learning For Shape Correspondence
In this talk I will describe several recent works aimed at developing accurate and Symposium on New
Symposium on
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