fangchangma/sparse-to-dense.pytorch
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
Python
Stargazers
- 0x1orzXTU
- AkariAsaiUniversity of Washington
- AlexWan1027Zhejiang University
- ammirato
- Ariel-JUAN
- bobzhang123
- csjunxuNKU
- deep-programmer
- duanyonglihangzhou
- eborboihucNTHU VSLab
- FishHe
- frontwRaccoonLab
- javierlorenzodNielsenIQ
- JiamingSuenZJU-3DV
- LiuShihHungNational Tsing Hua University
- luyujiangmiaoHangzhou,Zhejiang
- mbaradadCambridge, MA
- moshanATucsdLa Jolla
- OlegJakushkin@Nethermind
- rhythm92Japan
- RicharizarddBoston, Massachusetts
- rodrigobressanRemote
- rvarun7777Staff Engineer, Qualcomm
- shujon
- Sino0904Computer Vision lab, CICS, Umass Amherst
- smrjansTalentica
- tejaskhotAbnormal Security
- timethy
- tryssss
- wbhuCUHK
- wk199
- Yc174Beihang University
- yxgeee@TencentARC
- zhengyingbin
- ziqi-zhangUIUC
- zzx9636