Disentangled Representation Learning and Enhancement Network for Single Image De-Raining

Author:

Wang Guoqing1,Sun Changming2,Xu Xing1,Li Jingjing1,Wang Zheng1,Ma Zeyu1

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. CSIRO Data61, Sydney, Australia

Funder

the Fundamental Research Funds for the Central Universities

the National Natural Science Foundation of China

the Sichuan Science and Technology Program, China

Publisher

ACM

Reference44 articles.

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2. Jiezhang Cao Langyuan Mo Yifan Zhang Kui Jia Chunhua Shen and Mingkui Tan. 2019. Multi-Marginal Wasserstein GAN. In NIPS. 1776--1786. Jiezhang Cao Langyuan Mo Yifan Zhang Kui Jia Chunhua Shen and Mingkui Tan. 2019. Multi-Marginal Wasserstein GAN. In NIPS. 1776--1786.

3. Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever and Pieter Abbeel. 2016. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. In NIPS. 2180--2188. Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever and Pieter Abbeel. 2016. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. In NIPS. 2180--2188.

4. David Eigen Dilip Krishnan and Rob Fergus. 2013. Restoring an Image Taken Through a Window Covered with Dirt or Rain. In ICCV. 633--640. David Eigen Dilip Krishnan and Rob Fergus. 2013. Restoring an Image Taken Through a Window Covered with Dirt or Rain. In ICCV. 633--640.

5. Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal;Fu Xueyang;IEEE T-IP,2017

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