# DR-GAN **Repository Path**: ideaoverflow/DR-GAN ## Basic Information - **Project Name**: DR-GAN - **Description**: DR-GAN Official Tensorflow Implementation - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-04-04 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Disentangled Representation Learning GAN for Pose-Invariant Face Recognition (DR-GAN) ### [[Project page]](http://cvlab.cse.msu.edu/project-dr-gan.html) [[CVPR'17 Paper]](http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_CVPR2017.pdf) [[PAMI'18 Paper]](http://cvlab.cse.msu.edu/pdfs/Tran_Yin_Liu_PAMI2018.pdf) ![Teaser](./images/dr-gan.jpg) ## Library requirements * Tensorflow ## Data [VGG2](http://www.robots.ox.ac.uk/~vgg/data/vgg_face2/data_infor.html) Please create txt files with each line in the form ; ## Run the code Pretraining ```bash pretrain.sh ``` Finetunning ```bash train_DRGAN_multi.sh ``` ## Citation If you find this work useful, please cite our papers with the following bibtex: ```latex @article{ tran2018representation, author = { Luan Tran and Xi Yin and Xiaoming Liu }, title = { Representation Learning by Rotating Your Faces }, booktitle = { IEEE Transactions on Pattern Analysis and Machine Intelligence }, month = { September }, year = { 2018 }, } ``` ```latex @inproceedings{ tran2017disentangled, author = { Luan Tran and Xi Yin and Xiaoming Liu }, title = { Disentangled Representation Learning GAN for Pose-Invariant Face Recognition }, booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition }, address = { Honolulu, HI }, month = { July }, year = { 2017 }, } ``` ## Contacts If you have any questions, feel free to drop an email to _tranluan@msu.edu_.