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

DOI retrieved: December 16, 2024

Additional Info

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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/