BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh

AIM 2020 Challenge on Rendering Realistic Bokeh

Both track 1 & track 2 rank first

Competition Link

Because the paper "Efficient Bock Effect Rendering Using Generative Confrontation Network" is suspected of plagiarizing our article, I temporarily removed the final result.

Our paper accepted by eccv workshop If you find our paper is useful for you , please cite us: @article{qian2020bggan,
title={BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh},
author={Qian, Ming and Qiao, Congyu and Lin, Jiamin and Guo, Zhenyu and Li, Chenghua and Leng, Cong and Cheng, Jian},
journal={arXiv preprint arXiv:2011.02242},
year={2020}
}
If you wanna your results for academic purpose, please contact mingqian@nuist.edu.cn