CVAE-GAN_Fine-Grained_Image_Generation_Through_Asymmetric_Training.md

@inproceedings{Bao_2017_ICCV,
author = {Bao, Jianmin and Chen, Dong and Wen, Fang and Li, Houqiang and Hua, Gang},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {oct},
title = {{CVAE-GAN: Fine-Grained Image Generation Through Asymmetric Training}},
year = {2017}
}

This paper combined VAE and GAN together, and took the targeted class label as a condition. Thus the model could produce good examples.

Bullets:

1. Mean Discrepancy