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# Image Enhancement Edit

19 papers with code · Computer Vision

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# Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs

First, we augment the U-Net with global features and show that it is more effective.

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# EnlightenGAN: Deep Light Enhancement without Paired Supervision

17 Jun 2019yueruchen/EnlightenGAN

Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data?

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# Getting to Know Low-light Images with The Exclusively Dark Dataset

29 May 2018cs-chan/Exclusively-Dark-Image-Dataset

Thus, we propose the Exclusively Dark dataset to elevate this data drought, consisting exclusively of ten different types of low-light images (i. e. low, ambient, object, single, weak, strong, screen, window, shadow and twilight) captured in visible light only with image and object level annotations.

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# Deep Retinex Decomposition for Low-Light Enhancement

14 Aug 2018weichen582/RetinexNet

Based on the decomposition, subsequent lightness enhancement is conducted on illumination by an enhancement network called Enhance-Net, and for joint denoising there is a denoising operation on reflectance.

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# Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks

This paper considers a convolutional neural network for image quality enhancement referred to as the fast and efficient quality enhancement (FEQE) that can be trained for either image super-resolution or image enhancement to provide accurate yet visually pleasing images on mobile devices by addressing the following three main issues.

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# Image Super-Resolution as a Defense Against Adversarial Attacks

The proposed scheme is simple and has the following advantages: (1) it does not require any model training or parameter optimization, (2) it complements other existing defense mechanisms, (3) it is agnostic to the attacked model and attack type and (4) it provides superior performance across all popular attack algorithms.

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# Aesthetic-Driven Image Enhancement by Adversarial Learning

17 Jul 2017dannysdeng/EnhanceGAN

We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement.

SOTA for Image Cropping on AVA (using extra training data)

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# Deep Class Aware Denoising

6 Jan 2017TalRemez/deep_class_aware_denoising

We further show that a significant boost in performance of up to $0. 4$ dB PSNR can be achieved by making our network class-aware, namely, by fine-tuning it for images belonging to a specific semantic class.

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# XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets

3 Dec 2018JosephPB/XNet

X-Ray image enhancement, along with many other medical image processing applications, requires the segmentation of images into bone, soft tissue, and open beam regions.

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# Clearing the Skies: A deep network architecture for single-image rain removal

7 Sep 2016jinnovation/rainy-image-dataset

We introduce a deep network architecture called DerainNet for removing rain streaks from an image.

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