Understanding Local Deep Implicit Functions For 3d Shape
Exploring Local Deep Implicit Functions For 3d Shape reveals several interesting facts. Authors: Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas Funkhouser Description: The goal of this project is to ...
Key Takeaways about Local Deep Implicit Functions For 3d Shape
- In this talk, I will discuss ways to combine these
- [CVPR 2021 Oral Paper]
- Code/Data and Paper: http://virtualhumans.mpi-inf.mpg.de/ifnets/ Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
- Authors: Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui Description: We propose a ...
- Authors: Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas Funkhouser Description: ...
Detailed Analysis of Local Deep Implicit Functions For 3d Shape
Deep implicit We provide networks that infer the space decomposition and Authors: Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll Description: While many works focus on
E. Tretschk, A. Tewari, V. Golyanik, M. Zollhoefer, C. Stoll, C. Theobalt ECCV 2020
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