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LOL and MIT-Adobe FiveK datasets
LOL and MIT-Adobe FiveK datasets for low-light image enhancement -
Exposure correction dataset
Exposure correction dataset for exposure correction task -
DSLR Photo Enhancement Dataset (DPED)
A large-scale real-world dataset for photo enhancement, consisting of real photos captured from three different phones and one high-end reflex camera. -
Deep Retinex Decomposition for Low-Light Enhancement
The dataset used for training and testing the proposed deep retinex decomposition model. -
Underwater image enhancement via medium transmission-guided multi-color space...
Underwater image enhancement via medium transmission-guided multi-color space embedding. -
Underwater scene prior inspired deep underwater image and video enhancement
Underwater scene prior inspired deep underwater image and video enhancement. -
Underwater Image Enhancement Benchmark (UIEB) dataset
An underwater image enhancement benchmark dataset and beyond. -
UFO-120 dataset
Simultaneous enhancement and super-resolution of underwater imagery for improved visual perception. -
U-shape transformer for underwater image enhancement
U-shape transformer for underwater image enhancement. -
UIEB dataset
Underwater Image Enhancement (UIE) technology aims to tackle the challenge of restoring the degraded underwater images due to light absorption and scattering. -
MIT-Adobe FiveK dataset
The dataset used for training and testing the proposed NICER approach for aesthetic image enhancement. -
MIT-Adobe FiveK
The MIT-Adobe FiveK dataset, a large-scale dataset for image segmentation and object detection. -
Real Image Restoration and Enhancement
Real-world image restoration and enhancement -
Beidou Navigation Satellite dataset for on-orbit low-light image enhancement
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement -
Generative Diffusion Prior
The dataset used in the Generative Diffusion Prior for unified image restoration and enhancement. -
Learning a Deep Single Image Contrast Enhancer from Multi-exposure Images
A dataset for learning a deep single image contrast enhancer from multi-exposure images. -
Boomerang: Local sampling on image manifolds using diffusion models
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for data anonymization, data augmentation, and image perceptual quality... -
Learned perceptual image enhancement
Learned perceptual image enhancement.
