soubhiksanyal/now_evaluation
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.
Python
Stargazers
- 123456789asdfjklChina
- annopackage
- chaolongy
- ChunLLeeSoutheast University/University of Basel
- fly51flyPRIS
- ForrestPiXi’an Jiaotong University
- Innov-Plus
- jingyangcarlUniversity of Southern California
- laceyliaoSun Yat-sen University (SYSU)
- lhyfstSingapore
- linchaobao
- lucydjoparis
- m-pektasHubX
- mamunctg
- MercurialzhangShanghai Jiao Tong Univ
- MingwuZhengBeihang University
- MintaoZhaoSchool of Psychology, University of East Anglia
- mkocabasMax Planck Institute for Intelligent Systems
- nd1511European Space Agency (ESA)
- quqixunChengdu,China
- rlczddl
- RubikplayerNVIDIA
- runaway
- seva100Technical University of Munich (TUM)
- ShuzhuangXu
- sunyasheng
- TimoBolkartMax Planck Institute for Intelligent Systems
- walkoncross
- wang21jun
- wangzheallenComputer Vision Researcher
- weiguangzhaoUniversity of Liverpool
- xingyurenShanghai
- zcy8123878
- zhih-liOUC
- zhuhao-njuNanjing University
- ZielonMPI-IS