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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. -
VV [51] test set
The proposed dataset for low-light image enhancement using diffusion models and Retinex theory. -
NPE [53] test set
The proposed dataset for low-light image enhancement using diffusion models and Retinex theory. -
DICM [28] test set
The proposed dataset for low-light image enhancement using diffusion models and Retinex theory. -
LOL [58] and LSRW [16] test sets
The proposed dataset for low-light image enhancement using diffusion models and Retinex theory. -
Image Enhancement for Adverse Images
This paper uses the ImageNet and COCO2017 validation datasets for testing. -
DarkFace [60]
Low-light image enhancement dataset -
ExDark [35]
Low-light image enhancement dataset -
MyStyle++: A Controllable Personalized Generative Prior
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a few images of an individual with a set of corresponding attributes. -
Photorealistic text-to-image diffusion models with deep language understanding
The authors present a photorealistic text-to-image diffusion model with deep language understanding. -
HDR+ dataset
A dataset of input/output image pairs for learning image enhancements
