Learning Photo Enhancement by Black-Box Model Optimization Data Generation
Mayu Omiya, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa
Overview
This code provides an implementation of the research paper:
"Learning Photo Enhancement by Black-Box Model Optimization Data Generation"
Mayu Omiya, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa
SIGGRAPH Asia 2018 technical brief
We address the problem of automatic photo enhancement, in which the challenge is to determine the optimal enhancement for a given photo according to its content. We propose generating supervised training data from high-quality professional images and train CNN.
See our project page or paper for more detailed information.
Dependencies
- pytorch
- Image
- cma
- darktable (Photo enhancement software)
Contents
This contains programs for generating training data and ones for using trained CNN to enhance photos.