Latent Disentanglement for Low Light Image Enhancement

12 August 2024

Papers citing "Latent Disentanglement for Low Light Image Enhancement"

6 / 6 papers shown

Title
You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction Ziteng Cui Kunchang Li Lin Gu Sheng Su Peng Gao Zhengkai Jiang Yu Qiao Tatsuya Harada ViT 79 129 0 30 May 2022
Burst Image Restoration and Enhancement Akshay Dudhane Syed Waqas Zamir Salman Khan Fahad A Khan Ming-Hsuan Yang 89 85 0 07 Oct 2021
Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement Chuanjun Zheng D. Shi Wentian Shi 152 99 0 03 Oct 2021
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 103 354 0 13 Sep 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 195 5,176 0 16 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,834 0 18 May 2015