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A2RL

[Project] [Paper] [Code] [Online Demo] [API] [Related Work: GP-GAN (for Image Blending)]

Overview

source step 1 step 2 step 3 step 4 step 5 output

A2-RL (aka. Aesthetics Aware Reinforcement Learning) is the author's implementation of the RL-based automatic image cropping algorithm described in:

A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping   
Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang

Given a source image, our algorithm could take actions step by step to find almost the best cropping window on source image.

Contact: Debang Li ([email protected])

Results compared with baseline methods (more results)

Source VFN+Sliding window A2-RL Ground Truth
@article{li2017a2,
  title={A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping},
  author={Li, Debang and Wu, Huikai and Zhang, Junge and Huang, Kaiqi},
  journal={arXiv preprint arXiv:1709.04595},
  year={2017}
}

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