Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh. (arXiv:2208.12343v1 [cs.CV])

In this paper, we tackle the problem of monocular bokeh synthesis, where we
attempt to render a shallow depth of field image from a single all-in-focus
image. Unlike in DSLR cameras, this effect can not be captured directly in
mobile cameras due to the physical constraints of the mobile aperture. We thus
propose a network-based approach that is capable of rendering realistic
monocular bokeh from single image inputs. To do this, we introduce three new
edge-aware Bokeh Losses based on …

arxiv bokeh cv edge gan loss stage training