Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-face
An awesome face technology repository.
https://github.com/becauseofAI/awesome-face
Last synced: 5 days ago
JSON representation
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🔖 Face Detection
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- [paper - CV/PCN "C++")
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- [paper - caffe "Caffe") [[code3]](https://github.com/foreverYoungGitHub/MTCNN "Caffe") [[code4]](https://github.com/Seanlinx/mtcnn "MXNet") [[code5]](https://github.com/pangyupo/mxnet_mtcnn_face_detection "MXNet") [[code6]](https://github.com/TropComplique/mtcnn-pytorch "PyTorch") [[code7]](https://github.com/AITTSMD/MTCNN-Tensorflow "TensorFlow")
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- [paper - DSFD "PyTorch")
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👋 Recent Update
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🔖 Face Recognition
- [paper
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- [code
- [paper - interpret-FR)
- [paper - face "Caffe") [[code2]](https://github.com/pangyupo/mxnet_center_loss "MXNet") [[code3]](https://github.com/ShownX/mxnet-center-loss "MXNet-Gluon") [[code4]](https://github.com/EncodeTS/TensorFlow_Center_Loss "TensorFlow")
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- [paper - Face-Embeddings "TensorFlow")
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- [paper - Training-for-Deep-Face-Recognition-with-Long-Tailed-Noisy-Data "MXNet")
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- [paper - caffe "Caffe") [[code2]](https://github.com/4uiiurz1/pytorch-adacos "PyTorch")
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- [paper - plus "Caffe/Matlab")
- [paper - caffe "Caffe") [[code3]](https://github.com/xsr-ai/MobileFaceNet_TF "TensorFlow") [[code4]](https://github.com/GRAYKEY/mobilefacenet_ncnn "NCNN")
- [code - i-implemented-iphone-xs-faceid-using-deep-learning-in-python-d5dbaa128e1d "Medium")
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- [paper - Margin-Softmax "TensorFlow")
- [paper - li/CosFace "TensorFlow")
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- [paper - lsoftmax "MXNet") [[code3]](https://github.com/HiKapok/tf.extra_losses "TensorFlow") [[code4]](https://github.com/auroua/L_Softmax_TensorFlow "TensorFlow") [[code5]](https://github.com/tpys/face-recognition-caffe2 "Caffe2") [[code6]](https://github.com/amirhfarzaneh/lsoftmax-pytorch "PyTorch") [[code7]](https://github.com/jihunchoi/lsoftmax-pytorch "PyTorch")
- [report
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- [paper - Bayesian "Python") [[code2]](https://github.com/MaoXu/Joint_Bayesian "Matlab") [[code3]](https://github.com/Glasssix/joint_bayesian "C++/C#")
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🔖 Face 3D
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:hammer: Face Lib and Tool
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- [Paper - Light-and-Fast-Face-Detector-for-Edge-Devices) [[PyTorch]](https://github.com/becauseofAI/lffd-pytorch) [![GitHub stars](https://img.shields.io/github/stars/YonghaoHe/A-Light-and-Fast-Face-Detector-for-Edge-Devices.svg?logo=github&label=Stars)](https://github.com/YonghaoHe/A-Light-and-Fast-Face-Detector-for-Edge-Devices)</p>
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:trophy: SOTA
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🔖 Face Action
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🔖 Face Landmark
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🔖 Face GAN
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- [code1 - pengge/PyTorch-progressive_growing_of_gans "PyTorch")
- [paper - new-ai-tool-makes-creepily-realistic-videos-of-faces-in-the-future)
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- [paper - dataset "FFHQ")
- [paper - group.com/projects/BeautyGAN) [[poster]](http://liusi-group.com/pdf/BeautyGAN-camera-ready_2_poster.pdf)
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- [code1
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- [paper - youngjoo/SC-FEGAN "TensorFlow")
- [paper - de-occlusion-using-3D-morphable-model-and-generative-adversarial-network)
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🔖 Face Deblurring
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🔖 Face Manipulation
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🔖 Face Capture
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🔖 Face Clustering
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🔖 Face Super-Resolution
- [paper - Face-Super-Resolution "PyTorch")
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🔖 Face Benchmark and Dataset
- [project - in-faces/)
- [project - projects/face-recognition-vendor-test-frvt-ongoing)
- [paper - Face)
- [benckmark
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- [paper - c1) [[benchmark]](http://www.msceleb.org/) [[project]](https://www.microsoft.com/en-us/research/project/ms-celeb-1m-challenge-recognizing-one-million-celebrities-real-world/)
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- [paper - WebFace-Database.html)
- [report - www.cs.umass.edu/lfw/#download) [[result]](http://vis-www.cs.umass.edu/lfw/results.html) [[benchmark]](http://vis-www.cs.umass.edu/lfw/)
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- [report - www.cs.umass.edu/fddb/index.html#download) [[result]](http://vis-www.cs.umass.edu/fddb/results.html) [[benchmark]](http://vis-www.cs.umass.edu/fddb/)
- [paper - bischof/lrs/downloads/aflw/)
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🔖 Face Expression
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🔖 Face Anti-Spoofing
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🔖Face Adversarial Attack
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🔖 Face Cross-Modal
Programming Languages
Categories
🔖 Face Detection
85
👋 Recent Update
79
🔖 Face Recognition
54
🔖 Face GAN
21
🔖 Face Benchmark and Dataset
16
🔖 Face 3D
14
🔖 Face Landmark
10
🔖 Face Cross-Modal
5
:hammer: Face Lib and Tool
4
🔖 Face Action
4
🔖 Face Clustering
3
🔖 Face Manipulation
3
🔖 Face Capture
3
🔖Face Adversarial Attack
3
:trophy: SOTA
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🔖 Face Anti-Spoofing
2
🔖 Face Expression
2
🔖 Face Deblurring
1
🔖 Face Super-Resolution
1
Sub Categories