GAP-LAB-CUHK-SZ/TO-Scene
(ECCV 2022 Oral) TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes
PythonMIT
Stargazers
- dldl3D
- DuotunGuangzhou
- fly51flyPRIS
- HaolinLiu97The Chinese University of HongKong, Shenzhen
- helen9975
- HolycomfortTsinghua University
- hongxiaoyCASIA
- hugoycjthe Chinese University of Hong Kong, Shenzhen
- jlqzzz
- joonhyung-leeKorea University
- kevinlee09The Chinese University of Hong Kong, Shenzhen
- ldkong1205National University of Singapore
- lingtengqiuAlibaba Inc@3DAIGC; Ph.D @GAP-LAB-CUHK-SZ, HIT-SZ M.Sc., FZU B.Eng.; 3D vision, AIGC, AICG
- lucascassianoArtificial inc. / MIT - Media Lab
- lzzwdd
- Maguire1999
- meihuaz
- mjun0812Meiji University
- Murplugg
- mutianxu
- Neal2020GitHub
- NoLoPhe
- OrangeSodahubSJTU
- overdusexdu -> HOME
- Pseudopode
- Rampantsen
- ray8828Philadelphia
- RobertwyqMAIS, CASIA @BraveGroup
- siddharthKatageriIIIT Hyderabad
- WWWjiahuiShanghai Jiao Tong University
- wx-bRIOS
- XrosLiang
- yiducnChina
- yifanxing76
- ZCMaxHKU IDS | HKU-MMLab
- zubair-irshad@GeorgiaTech @TRI-ML @GT-RIPL