Fetching the paper…
Reading the bibliography…
Underwater images are subject to intricate and diverse degradation, inevitably affecting the effectiveness of underwater visual tasks.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
Earlier work this paper cites.
Underwater image enhancement by wavelength compensation and dehazing
John Yi-Wu Chiang and Ying-Ching Chen · 2012
Earlier work this paper cites.
Transmission estimation in underwater single images
Paulo Drews Jr., Erickson Rangel do Nascimento, F. Moraes, Silvia S. C. Botelho, and Mario F. M. Campos · 2013
Earlier work this paper cites.
Human-visual-system-inspired underwater image quality measures
Karen Panetta, Chen Gao, and Sos Agaian · 2015
Earlier work this paper cites.
An underwater color image quality evaluation metric
Miao Yang and Arcot Sowmya · 2015
Earlier work this paper cites.
Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior
Chongyi Li, Jichang Guo, Runmin Cong, Yanwei Pang, and Bo Wang · 2016
Earlier work this paper cites.
What is the space of attenuation coefficients in underwater computer vision?
Derya Akkaynak, Tali Treibitz, Tom Shlesinger, Yossi Loya, Raz Tamir, and David Iluz · 2017
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.
Wavelet-srnet: A wavelet-based CNN for multi-scale face super resolution
Huaibo Huang, Ran He, Zhenan Sun, and Tieniu Tan · 2017
Earlier work this paper cites.
Underwater image restoration based on image blurriness and light absorption
Yan-Tsung Peng and Pamela C. Cosman · 2017
Earlier work this paper cites.
Deep underwater image enhancement
Saeed Anwar, Chongyi Li, and Fatih Porikli · 2018
Earlier work this paper cites.
Enhancing underwater imagery using generative adversarial networks
Cameron Fabbri, Md Jahidul Islam, and Junaed Sattar · 2018
Earlier work this paper cites.
Deep convolutional framelet denosing for low-dose CT via wavelet residual network
Eunhee Kang, Won Chang, Jae Jun Yoo, and Jong Chul Ye · 2018
Earlier work this paper cites.
Watergan: Unsupervised generative network to enable real-time color correction of monocular underwater images
Jie Li, Katherine A. Skinner, Ryan M. Eustice, and Matthew Johnson-Roberson · 2018
Earlier work this paper cites.
Generalization of the dark channel prior for single image restoration
Yan-Tsung Peng, Keming Cao, and Pamela C. Cosman · 2018
Earlier work this paper cites.
A wavelet transform based contrast enhancement method for underwater acoustic images
Priyadharsini Ravisankar, T. Sree Sharmila, and V. Rajendran · 2018
Cited alongside, same era.
Single underwater image restoration using adaptive attenuation-curve prior
Yi Wang, Hui Liu, and Lap-Pui Chau · 2018
Cited alongside, same era.
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.
Sea-thru: A method for removing water from underwater images
Derya Akkaynak and Tali Treibitz · 2019
Cited alongside, same era.
A fusion adversarial underwater image enhancement network with a public test dataset
Hanyu Li, Jingjing Li, and Wei Wang · 2019
Cited alongside, same era.
Underwater image enhancement via learning water type desensitized representations
Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, and Xinghao Ding · 2022
Later among the works it cites.
Deep fourier-based exposure correction network with spatial-frequency interaction
Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, and Zhiwei Xiong · 2022
Later among the works it cites.
A wavelet-based dual-stream network for underwater image enhancement
Ziyin Ma and Changjae Oh · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Later among the works it cites.
Palette: Image-to-image diffusion models
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, and Mohammad Norouzi · 2022
Later among the works it cites.
Photorealistic text-to-image diffusion models with deep language understanding
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Pritish M. Uplavikar, Zhenyu Wu, and Zhangyang Wang · 2019
Cited alongside, same era.
Realtime multi-diver tracking and re-identification for underwater human-robot collaboration
Karin de Langis and Junaed Sattar · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Fast underwater image enhancement for improved visual perception
Md Jahidul Islam, Youya Xia, and Junaed Sattar · 2020
Cited alongside, same era.
An underwater image enhancement benchmark dataset and beyond
Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, and Dacheng Tao · 2020
Cited alongside, same era.
ILVR: conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
Cited alongside, same era.
Underwater image enhancement via medium transmission-guided multi-color space embedding
Chongyi Li, Saeed Anwar, Junhui Hou, Runmin Cong, Chunle Guo, and Wenqi Ren · 2021
Cited alongside, same era.
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, and Mohammad Norouzi · 2022
Later among the works it cites.
Deblurring via stochastic refinement
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, and Peyman Milanfar · 2022
Later among the works it cites.
Contrastive semi-supervised learning for underwater image restoration via reliable bank
Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, and Yunsong Li · 2023
Closest in time.
U-shape transformer for underwater image enhancement
Lintao Peng, Chunli Zhu, and Liheng Bian · 2023
Closest in time.
Underwater image enhancement by transformer-based diffusion model with non-uniform sampling for skip strategy
Yi Tang, Hiroshi Kawasaki, and Takafumi Iwaguchi · 2023
Closest in time.
Zero-shot image restoration using denoising diffusion null-space model
Yinhuai Wang, Jiwen Yu, and Jian Zhang · 2023
Closest in time.
Underwater image restoration with light-aware progressive network
Jian Yang, Chen Li, and Xuelong Li · 2023
Closest in time.
Docdiff: Document enhancement via residual diffusion models
Zongyuan Yang, Baolin Liu, Yongping Xiong, Lan Yi, Guibin Wu, Xiaojun Tang, Ziqi Liu, Junjie Zhou, and Xing Zhang · 2023
Closest in time.
Diff-retinex: Rethinking low-light image enhancement with A generative diffusion model
Xunpeng Yi, Han Xu, Hao Zhang, Linfeng Tang, and Jiayi Ma · 2023
Closest in time.
Toward sufficient spatial-frequency interaction for gradient-aware underwater image enhancement
Chen Zhao, Wei-Ling Cai, Chenyu Dong, and Ziqi Zeng · 2023
Closest in time.