Low-Light Image Enhancement via Structure Modeling and Guidance-Reference-Cited by-同舟云学术

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Low-Light Image Enhancement via Structure Modeling and Guidance

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Xu Xiaogang¹,Wang Ruixing²,Lu Jiangbo³

Affiliation:

1. Zhejiang Lab

2. Honor Device Co., Ltd

3. SmartMore Corporation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205162.pdf?arnumber=10205162

Reference74 articles.

1. EnlightenGAN: Deep light enhancement without paired supervision;jiang;IEEE TIP,2021

2. A Learning-to-Rank Approach for Image Color Enhancement

3. GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors

4. SNR-Aware Low-light Image Enhancement

5. Analyzing and Improving the Image Quality of StyleGAN

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1. A saturation-light enhancement method for low-light image via atmospheric scattering model;Optics and Lasers in Engineering;2024-12

2. Attention-oriented residual block for real-time low-light image enhancement in smart ports;Computers and Electrical Engineering;2024-12

3. ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement;IEEE Transactions on Artificial Intelligence;2024-09

4. Joint Luminance Adjustment and Color Correction for Low-Light Image Enhancement Network;Applied Sciences;2024-07-19

5. LEFB: A new low-light image contrast enhancement algorithm;International Journal of Modern Physics C;2024-06-11

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