Efficient Bokeh Effect Rendering using Generative Adversarial Network

The bokeh effect in photography is an artistic effect that makes the subject stand out by intentionally distorting the focus of the background while focusing on the subject. In this paper, we propose an end-to-end deep learning model that generates bokeh images from wild HD images. The proposed generative adversarial network model consists of a generator and a double-scale discriminator. It is so lightweight that it can carry out bokeh effect rendering in 0.03 seconds per image on a PC. In addition, we show that in a mobile environment, HD images can be processed in 1.3 seconds per image.