Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network

05/13/2020
by   Dario Kneubuehler, et al.
4

We propose the first practical multitask image enhancement network, that is able to learn one-to-many and many-to-one image mappings. We show that our model outperforms the current state of the art in learning a single enhancement mapping, while having significantly fewer parameters than its competitors. Furthermore, the model achieves even higher performance on learning multiple mappings simultaneously, by taking advantage of shared representations. Our network is based on the recently proposed SGN architecture, with modifications targeted at incorporating global features and style adaption. Finally, we present an unpaired learning method for multitask image enhancement, that is based on generative adversarial networks (GANs).

READ FULL TEXT

page 14

page 17

page 18

page 22

page 23

page 25

page 26

page 27

research
07/27/2021

StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement

Image enhancement is a subjective process whose targets vary with user p...
research
12/17/2019

Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software

This paper tackles unpaired image enhancement, a task of learning a mapp...
research
01/15/2020

Improving GANs for Speech Enhancement

Generative adversarial networks (GAN) have recently been shown to be eff...
research
12/12/2021

Attention based Broadly Self-guided Network for Low light Image Enhancement

During the past years,deep convolutional neural networks have achieved i...
research
12/22/2022

SALVE: Self-supervised Adaptive Low-light Video Enhancement

A self-supervised adaptive low-light video enhancement (SALVE) method is...
research
12/10/2020

A Generative Approach for Detection-driven Underwater Image Enhancement

In this paper, we introduce a generative model for image enhancement spe...
research
04/02/2020

iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning

The intelligibility of natural speech is seriously degraded when exposed...

Please sign up or login with your details

Forgot password? Click here to reset