Progressive Image Enhancement under Aesthetic Guidance
Author:
Affiliation:
1. University of Electronic Science and Technology of China, Chengdu, China
2. National University of Singapore, Singapore, Singapore
3. Nanjing University of Science and Technology, Nanjing, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3323873.3325055
Reference19 articles.
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2. Fast image processing with fully-convolutional networks;Chen Qifeng;ICCV,2017
3. Yu-Sheng Chen Yu-Ching Wang Man-Hsin Kao and Yung-Yu Chuang. 2018. Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans. In CVPR. 6306--6314. Yu-Sheng Chen Yu-Ching Wang Man-Hsin Kao and Yung-Yu Chuang. 2018. Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans. In CVPR. 6306--6314.
4. Yubin Deng Chen Change Loy and Xiaoou Tang. 2018. Aesthetic-driven image enhancement by adversarial learning. In MM. ACM 870--878. 10.1145/3240508.3240531 Yubin Deng Chen Change Loy and Xiaoou Tang. 2018. Aesthetic-driven image enhancement by adversarial learning. In MM. ACM 870--878. 10.1145/3240508.3240531
5. Ryosuke Furuta Naoto Inoue and Toshihiko Yamasaki. 2019. Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. In AAAI . Ryosuke Furuta Naoto Inoue and Toshihiko Yamasaki. 2019. Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. In AAAI .
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