Fetching the paper…
Reading the bibliography…
Image deblurring is a critical task in the field of image restoration, aiming to eliminate blurring artifacts.
“Intriguing findings of frequency selection for image deblurring,”
Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, and Yan Wang, · 1913
Earlier work this paper cites.
“Image quality metrics: Psnr vs. ssim,”
Alain Hore and Djemel Ziou, · 2010
Earlier work this paper cites.
“U-net: Convolutional networks for biomedical image segmentation,”
Olaf Ronneberger, Philipp Fischer, and Thomas Brox, · 2015
Earlier work this paper cites.
“Deep multi-scale convolutional neural network for dynamic scene deblurring,”
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee, · 2017
Earlier work this paper cites.
“A high-quality denoising dataset for smartphone cameras,”
Abdelrahman Abdelhamed, Stephen Lin, and Michael S Brown, · 2018
Earlier work this paper cites.
“Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study,”
Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, and Kyoung Mu Lee, · 2019
Earlier work this paper cites.
“Real-world blur dataset for learning and benchmarking deblurring algorithms,”
Jucheol Won Jaesung Rim, Haeyun Lee and Sunghyun Cho, · 2020
Cited alongside, same era.
“Combining spatial and frequency information for image deblurring,”
Jiang Hai, Ren Yang, Yaqi Yu, and Songchen Han, · 2022
Cited alongside, same era.
“Deep image deblurring: A survey,”
Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Björn Stenger, Ming-Hsuan Yang, and Hongdong Li, · 2022
Cited alongside, same era.
“Learning enriched features for fast image restoration and enhancement,”
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao, · 2022
Cited alongside, same era.
“Uformer: A general u-shaped transformer for image restoration,”
Zhendong Wang, Xiaodong Cun, Jianmin Bao, Wengang Zhou, Jianzhuang Liu, and Houqiang Li, · 2022
Cited alongside, same era.
“Mssnet: Multi-scale-stage network for single image deblurring,”
“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.
“Simple baselines for image restoration,”
Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, and Jian Sun, · 2022
Later among the works it cites.
“Improving image restoration by revisiting global information aggregation,”
Xiaojie Chu, Liangyu Chen, Chengpeng Chen, and Xin Lu, · 2022
Later among the works it cites.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al., · 2023
Closest in time.
“Let segment anything help image dehaze,”
Zheyan Jin, Shiqi Chen, Yueting Chen, Zhihai Xu, and Huajun Feng, · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Kiyeon Kim, Seungyong Lee, and Sunghyun Cho, · 2022
Cited alongside, same era.
“Real-world deep local motion deblurring,”
Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, and Zhihai Xu, · 2023
Closest in time.