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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.

sample-input sample-output

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.

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