Fetching the paper…
Reading the bibliography…
In this paper, we rethink the low-light image enhancement task and propose a physically explainable and generative diffusion model for low-light image enhancement, termed as Diff-Retinex.
Lightness and retinex theory
Edwin H Land and John J McCann · 1971
Earlier work this paper cites.
The gamma transform: A local time-frequency analysis method
Neng-Tsann Ueng and Louis L Scharf · 1995
Earlier work this paper cites.
A multiscale retinex for bridging the gap between color images and the human observation of scenes
Daniel J Jobson, Zia-ur Rahman, and Glenn A Woodell · 1997
Earlier work this paper cites.
Properties and performance of a center/surround retinex
Daniel J Jobson, Zia-ur Rahman, and Glenn A Woodell · 1997
Earlier work this paper cites.
A novel 3-d color histogram equalization method with uniform 1-d gray scale histogram
Ji-Hee Han, Sejung Yang, and Byung-Uk Lee · 2010
Earlier work this paper cites.
A two-step framework for constructing blind image quality indices
Anush Krishna Moorthy and Alan Conrad Bovik · 2010
Earlier work this paper cites.
Bm3d frames and variational image deblurring
Aram Danielyan, Vladimir Katkovnik, and Karen Egiazarian · 2011
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Contrast enhancement based on layered difference representation of 2d histograms
Chulwoo Lee, Chul Lee, and Chang-Su Kim · 2013
Earlier work this paper cites.
Naturalness preserved enhancement algorithm for non-uniform illumination images
Shuhang Wang, Jin Zheng, Hai-Miao Hu, and Bo Li · 2013
Earlier work this paper cites.
Image enhancement using exposure based sub image histogram equalization
Kuldeep Singh and Rajiv Kapoor · 2014
Earlier work this paper cites.
A fusion-based enhancing method for weakly illuminated images
Xueyang Fu, Delu Zeng, Yue Huang, Yinghao Liao, Xinghao Ding, and John Paisley · 2016
Earlier work this paper cites.
Lime: Low-light image enhancement via illumination map estimation
Xiaojie Guo, Yu Li, and Haibin Ling · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Llnet: A deep autoencoder approach to natural low-light image enhancement
Kin Gwn Lore, Adedotun Akintayo, and Soumik Sarkar · 2017
Earlier work this paper cites.
Generative adversarial networks: introduction and outlook
Kunfeng Wang, Chao Gou, Yanjie Duan, Yilun Lin, Xinhu Zheng, and Fei-Yue Wang · 2017
Earlier work this paper cites.
The 2018 pirm challenge on perceptual image super-resolution
Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, and Lihi Zelnik-Manor · 2018
Cited alongside, same era.
Lightennet: A convolutional neural network for weakly illuminated image enhancement
Chongyi Li, Jichang Guo, Fatih Porikli, and Yanwei Pang · 2018
Cited alongside, same era.
Structure-revealing low-light image enhancement via robust retinex model
Mading Li, Jiaying Liu, Wenhan Yang, Xiaoyan Sun, and Zongming Guo · 2018
Cited alongside, same era.
Joint enhancement and denoising method via sequential decomposition
Xutong Ren, Mading Li, Wen-Huang Cheng, and Jiaying Liu · 2018
Cited alongside, same era.
Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
Cited alongside, same era.
Underexposed image correction via hybrid priors navigated deep propagation
Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, and Zhongxuan Luo · 2021
Later among the works it cites.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Later among the works it cites.
Beyond brightening low-light images
Yonghua Zhang, Xiaojie Guo, Jiayi Ma, Wei Liu, and Jiawan Zhang · 2021
Later among the works it cites.
Learning with nested scene modeling and cooperative architecture search for low-light vision
Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, and Zhongxuan Luo · 2022
Later among the works it cites.
Low-light image enhancement via self-reinforced retinex projection model
Long Ma, Risheng Liu, Yiyang Wang, Xin Fan, and Zhongxuan Luo · 2022
Later among the works it cites.
Toward fast, flexible, and robust low-light image enhancement
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Generative adversarial networks for hyperspectral image classification
Lin Zhu, Yushi Chen, Pedram Ghamisi, and Jón Atli Benediktsson · 2018
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Cited alongside, same era.
Kindling the darkness: A practical low-light image enhancer
Yonghua Zhang, Jiawan Zhang, and Xiaojie Guo · 2019
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Zero-shot restoration of underexposed images via robust retinex decomposition
Anqi Zhu, Lin Zhang, Ying Shen, Yong Ma, Shengjie Zhao, and Yicong Zhou · 2020
Cited alongside, same era.
Enlightengan: Deep light enhancement without paired supervision
Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, and Zhangyang Wang · 2021
Cited alongside, same era.
Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, and Zhongxuan Luo · 2022
Later among the works it cites.
Practical exposure correction: Great truths are always simple
Long Ma, Tianjiao Ma, Xinwei Xue, Xin Fan, Zhongxuan Luo, and Risheng Liu · 2022
Later among the works it cites.
Cycle-interactive generative adversarial network for robust unsupervised low-light enhancement
Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, Lin Ma, and Sam Kwong · 2022
Later among the works it cites.
Image deblurring with domain generalizable diffusion models
Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, and Peyman Milanfar · 2022
Later among the works it cites.
Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
Later among the works it cites.
Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement
Wenhui Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, and Jianmin Jiang · 2022
Later among the works it cites.
Restormer: Efficient transformer for high-resolution image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
Later among the works it cites.
Bilevel fast scene adaptation for low-light image enhancement
Long Ma, Dian Jin, Nan An, Jinyuan Liu, Xin Fan, and Risheng Liu · 2023
Closest in time.
Cdpmsr: Conditional diffusion probabilistic models for single image super-resolution
Axi Niu, Kang Zhang, Trung X Pham, Jinqiu Sun, Yu Zhu, In So Kweon, and Yanning Zhang · 2023
Closest in time.
Ultra-high-definition low-light image enhancement: A benchmark and transformer-based method
Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Bjorn Stenger, and Tong Lu · 2023
Closest in time.