val-iisc/deligan
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
PythonMIT
Stargazers
- alisiahkoohiRice University
- Alvin2580du
- ArseyUkraine, Poltava
- chinakook
- cooldan88
- Dewly
- dltlqqns
- fly51flyPRIS
- GKalliatakis
- gorogoroyasufusic.co.jp
- gravity1989IIITB
- Hellomodo
- hwalsukleeNAVER Clova AI Research
- joeysu
- lin-j
- LukasMosser@AkerBP
- mmbrianMunich
- mpicci
- pandamaxHang Zhou.China
- rshravan
- samim23infinity
- share123321
- shipengfei92Morgan Stanley
- sirlancer
- songyh10
- taki0112NAVER AI Lab
- tensortalkYou're on TensorTalk.com!
- tongxyhNanjing University
- vnhwd
- wangxiaoqing1
- weiuniverseSan jose
- XiongweiWu
- YiZiChen
- zhanif3
- zhaoying9105cambricon
- zhengkaifu