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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 -
MIT FiveK dataset
A dataset of input/output image pairs for learning photographic image enhancements -
UHD-LL dataset
UHD-LL dataset for low-light image enhancement -
VE-LOL-L dataset
Low-light image enhancement task using a generative diffusion model and Retinex decomposition -
SID dataset
Low light image enhancement using paired and unpaired datasets
