JonasSchult/dcm-net
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
PythonMIT
Stargazers
- agrija9Epirus
- alxndrkalininBroad Institute of MIT and Harvard
- BestSonnyAuburn, Alabama
- bsirmacekcreate4D
- bygreencnChina
- chinakook
- dkulonSnap Inc.
- fly51flyPRIS
- fpthinkNanjing University of Science and Technology
- francisengelmannETH Zurich
- FrozenSilentICT, CAS
- kumujiRWTH Aachen University
- liruihuiChangsha, Hunan
- liuyuwan233Sichuan University
- lyqunHKUST
- MarcokHShanghai China
- MaxChangerBeijing, China
- MegaYEyePurdue Univ
- planetceresSan Francisco Bay Area
- pragmascriptMunich, Germany
- PV-NTR
- qbecky
- rAm1nToronto, Canada.
- ranahanockaAssistant Professor
- raptistasosNational Technical University of Athens
- renatojmsdh@verlab DCC/UFMG & @ICB-Vision-AI
- SimplicityApksGermany
- tommaoerICT, CAS
- vincenthesiyuanGuangzhou, China
- wbhuCUHK
- WeixiaoGao
- wolf943134497
- xfarxodSeoul Korea
- Yang-L1
- yanx27The Chinises University of Hong Kong, Shenzhen
- zimenglan-sysu-512sysu