Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network

01/23/2020
by   Yanyan Wei, et al.
22

Removing the rain streaks from single image is still a challenging task, since the shapes and direc-tions of rain streaks in the synthetic datasets are very different from real images. Although super-vised deep deraining networks have obtained im-pressive results on synthetic datasets, they still cannot obtain satisfactory results on real images due to weak generalization of rain removal capac-ity, i.e., the pre-trained models usually cannot handle new shapes and directions that may lead to over-derained/under-derained results. In this paper, we propose a new semi-supervised GAN-based deraining network termed Semi-DerainGAN, which can use both synthetic and real rainy images in a uniform network using two supervised and unsupervised processes. Specifically, a semi-supervised rain streak learner termed SSRML sharing the same parameters of both processes is derived, which makes the real images contribute more rain streak information. To deliver better deraining results, we design a paired discriminator for distinguishing the real pairs from fake pairs. Note that we also contribute a new real-world rainy image dataset Real200 to alleviate the dif-ference between the synthetic and real image do-mains. Extensive results on public datasets show that our model can obtain competitive perfor-mance, especially on real images.

READ FULL TEXT

page 1

page 2

page 3

page 4

04/06/2022

Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning

The intricacy of rainy image contents often leads cutting-edge deraining...
12/15/2019

DerainCycleGAN: An Attention-guided Unsupervised Benchmark for Single Image Deraining and Rainmaking

Single image deraining (SID) is an important and challenging topic in em...
04/28/2022

Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal

Rain is one of the most common weather which can completely degrade the ...
07/29/2018

Semi-supervised CNN for Single Image Rain Removal

Single image rain removal is a typical inverse problem in computer visio...
03/26/2021

Towards a Unified Approach to Single Image Deraining and Dehazing

We develop a new physical model for the rain effect and show that the we...
08/04/2018

T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks

Current methods for single-image depth estimation use training datasets ...
03/06/2020

Semi-Supervised StyleGAN for Disentanglement Learning

Disentanglement learning is crucial for obtaining disentangled represent...