2D and 3D Face Modeling, Analysis and Synthesis Project Based on Huawei MindSpore.
For all main contributors, please check contributing.
2022-06-18: We have created our official repo about face research based on MindSpore.
The code of MindFace is released under the MIT License. There is no limitation for academic usage.
The training data containing the annotation (and the models trained with these data) are available for non-commercial research purposes only.
MindFace is an open source 2D&3D deep face research toolbox, mainly based on MindSpore.
MindFace efficiently implements a rich variety of state of the art algorithms of face recognition, face detection , face emotion recognition, face alignment, face synthesis, face counter attack and face anti-spoofing which optimized for both training and deployment.
If you find MindFace useful in your research, please consider to cite the following related papers:
MindFace is mainly maintained by the Cross-Media Intelligent Computing (CMIC) Laboratory, University of Science and Technology of China (USTC), and cooperated with Huawei Technologies Co., Ltd.
The research topics of CMIC include multimedia computing, multi-modal information perception, cognition and synthesis.
CMIC has published more than 200 journal articles and conference papers, including TPAMI, TIP, TMM, TASLP, TCSVT, TCYB, TITS, TOMM, TCDS, NeurIPS, ACL, CVPR, ICCV, MM, ICLR, SIGGRAPH, VR, AAAI, IJCAI.
CMIC has received 6 best paper awards from premier conferences, including CVPR MAVOC, ICCV MFR, ICME, FG.
CMIC has won 24 Grand Challenge Champion Awards from premier conferences, including CVPR, ICCV, MM, ECCV, AAAI, ICME.
Main contributors:
- Jun Yu,
harryjun[at]ustc.edu.cn - Guochen xie,
xiegc[at]mail.ustc.edu.cn - Shenshen Du,
dushens[at]mail.ustc.edu.cn - Liwen Zhang,
zlw1113[at]mail.ustc.edu.cn - Hao Chang,
changhaoustc[at]mail.ustc.edu.cn - Zhongpeng Cai,
czp_2402242823[at]mail.ustc.edu.cn - Peng He,
hp0618[at]mail.ustc.edu.cn - Keda Lu,
wujiekd666[at]gmail.com