Introduction to Local Deep Implicit Functions For 3d Shapes
Exploring Local Deep Implicit Functions For 3d Shapes reveals several interesting facts. Authors: Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas Funkhouser Description: The goal of this project is to ...
Local Deep Implicit Functions For 3d Shapes Comprehensive Overview
Deep implicit We provide networks that infer the space decomposition and In this talk, I will discuss ways to combine these
Authors: Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas Funkhouser Description: ...
Summary & Highlights for Local Deep Implicit Functions For 3d Shapes
- Authors: Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll Description: While many works focus on
- Code/Data and Paper: http://virtualhumans.mpi-inf.mpg.de/ifnets/ Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
- [CVPR 2021 Oral Paper]
- Authors: Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui Description: We propose a ...
- This is a video recording of our NeurIPS 2020 Tutorial -
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