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CLE Diffusion: Controllable Light Enhancement Diffusion Model

Low-light image enhancement has gained increasing importance with the rapid development of visual creation and editing. However, most existing enhancement algorithms are designed to homogeneously increase the brightness of images to a pre-defined extent, limiting the user experience.

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Cite this as

Yuyang Yin, Dejia Xu, Chuangchuang Tan, Ping Liu, Yao Zhao, Yunchao Wei (2024). Dataset: CLE Diffusion: Controllable Light Enhancement Diffusion Model. https://doi.org/10.57702/wny1o43u

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1145/3581783.3612145
Author	Yuyang Yin
More Authors	Dejia Xu Chuangchuang Tan Ping Liu Yao Zhao Yunchao Wei
Homepage	https://yuyangyin.github.io/CLEDiffusion/