Fetching the paper…
Reading the bibliography…
Recent progress on Transformers and multi-layer perceptron (MLP) models provide new network architectural designs for computer vision 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.
Image denoising by sparse 3-d transform-domain collaborative filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
Earlier work this paper cites.
Learning photographic global tonal adjustment with a database of input/output image pairs
Vladimir Bychkovsky, Sylvain Paris, Eric Chan, and Frédo Durand · 2011
Earlier work this paper cites.
Image denoising: Can plain neural networks compete with bm3d?
Harold C Burger, Christian J Schuler, and Stefan Harmeling · 2012
Earlier work this paper cites.
Removal of haze and noise from a single image
Erik Matlin and Peyman Milanfar · 2012
Earlier work this paper cites.
Deconvolving psfs for a better motion deblurring using multiple images
Xiang Zhu, Filip Šroubek, and Peyman Milanfar · 2012
Earlier work this paper cites.
Unnatural l0 sparse representation for natural image deblurring
Li Xu, Shicheng Zheng, and Jiaya Jia · 2013
Earlier work this paper cites.
Deblurring low-light images with light streaks
Zhe Hu, Sunghyun Cho, Jue Wang, and Ming-Hsuan Yang · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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.
Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
Earlier work this paper cites.
Dehazenet: An end-to-end system for single image haze removal
Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, and Dacheng Tao · 2016
Earlier work this paper cites.
Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
Earlier work this paper cites.
Rain streak removal using layer priors
Yu Li, Robby T Tan, Xiaojie Guo, Jiangbo Lu, and Michael S Brown · 2016
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
Earlier work this paper cites.
Blind image deblurring using dark channel prior
Jinshan Pan, Deqing Sun, Hanspeter Pfister, and Ming-Hsuan Yang · 2016
Earlier work this paper cites.
Clearing the skies: A deep network architecture for single-image rain removal
Xueyang Fu, Jiabin Huang, Xinghao Ding, Yinghao Liao, and John Paisley · 2017
Earlier work this paper cites.
Removing rain from single images via a deep detail network
Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, and John Paisley · 2017
Earlier work this paper cites.
Deep laplacian pyramid networks for fast and accurate super-resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 2017
Earlier work this paper cites.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
Earlier work this paper cites.
Aod-net: All-in-one dehazing network
Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, and Dan Feng · 2017
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.
Benchmarking denoising algorithms with real photographs
Tobias Plotz and Stefan Roth · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Deep joint rain detection and removal from a single image
Wenhan Yang, Robby T Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, and Shuicheng Yan · 2017
Earlier work this paper cites.
mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2017
Earlier work this paper cites.
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N Metaxas · 2017
Earlier work this paper cites.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
Earlier work this paper cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 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.
JAX: composable transformations of Python+NumPy programs, 2018
James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang · 2018
Earlier work this paper cites.
Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
Earlier work this paper cites.
Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans
Yu-Sheng Chen, Yu-Ching Wang, Man-Hsin Kao, and Yung-Yu Chuang · 2018
Earlier work this paper cites.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Earlier work this paper cites.
Exposure: A white-box photo post-processing framework
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, and Stephen Lin · 2018
Earlier work this paper cites.
Deblurgan: Blind motion deblurring using conditional adversarial networks
Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, and Jiří Matas · 2018
Earlier work this paper cites.
Recurrent squeeze-and-excitation context aggregation net for single image deraining
Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, and Hongbin Zha · 2018
Earlier work this paper cites.
Non-local recurrent network for image restoration
Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, and Thomas S Huang · 2018
Earlier work this paper cites.
Attention u-net: Learning where to look for the pancreas
Ozan Oktay, Jo Schlemper, Loic Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils Y Hammerla, Bernhard Kainz, et al · 2018
Earlier work this paper cites.
Film: Visual reasoning with a general conditioning layer
Ethan Perez, Florian Strub, Harm De Vries, Vincent Dumoulin, and Aaron Courville · 2018
Earlier work this paper cites.
Attentive generative adversarial network for raindrop removal from a single image
Rui Qian, Robby T Tan, Wenhan Yang, Jiajun Su, and Jiaying Liu · 2018
Earlier work this paper cites.
Gated fusion network for single image dehazing
Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, and Ming-Hsuan Yang · 2018
Earlier work this paper cites.
Scale-recurrent network for deep image deblurring
Xin Tao, Hongyun Gao, Xiaoyong Shen, Jue Wang, and Jiaya Jia · 2018
Cited alongside, same era.
Gladnet: Low-light enhancement network with global awareness
Wenjing Wang, Chen Wei, Wenhan Yang, and Jiaying Liu · 2018
Cited alongside, same era.
Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Cited alongside, same era.
Esrgan: Enhanced super-resolution generative adversarial networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy · 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.
Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training
Dongwon Park, Dong Un Kang, Jisoo Kim, and Se Young Chun · 2020
Later among the works it cites.
Ffa-net: Feature fusion attention network for single image dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, and Huizhu Jia · 2020
Later among the works it cites.
Real-world blur dataset for learning and benchmarking deblurring algorithms
Jaesung Rim, Haeyun Lee, Jucheol Won, and Sunghyun Cho · 2020
Later among the works it cites.
Spatially-attentive patch-hierarchical network for adaptive motion deblurring
Maitreya Suin, Kuldeep Purohit, and AN Rajagopalan · 2020
Later among the works it cites.
Transtrack: Multiple-object tracking with transformer
Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Density-aware single image de-raining using a multi-stream dense network
He Zhang and Vishal M Patel · 2018
Cited alongside, same era.
Stackgan++: Realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N Metaxas · 2018
Cited alongside, same era.
Dynamic scene deblurring using spatially variant recurrent neural networks
Jiawei Zhang, Jinshan Pan, Jimmy Ren, Yibing Song, Linchao Bao, Rynson WH Lau, and Ming-Hsuan Yang · 2018
Cited alongside, same era.
Residual dense network for image super-resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu · 2018
Cited alongside, same era.
Real image denoising with feature attention
Saeed Anwar and Nick Barnes · 2019
Cited alongside, same era.
Gated context aggregation network for image dehazing and deraining
Dongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, and Gang Hua · 2019
Cited alongside, same era.
Dual adversarial network: Toward real-world noise removal and noise generation
Zongsheng Yue, Qian Zhao, Lei Zhang, and Deyu Meng · 2020
Later among the works it cites.
Cycleisp: Real image restoration via improved data synthesis
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2020
Later among the works it cites.
Learning enriched features for real image restoration and enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2020
Later among the works it cites.
Deblurring by realistic blurring
Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Bjorn Stenger, Wei Liu, and Hongdong Li · 2020
Later among the works it cites.
https://noise.visinf.tu-darmstadt.de/benchmark, 2017
Darmstadt noise dataset · 2021
Later among the works it cites.
Vivit: A video vision transformer
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lučić, and Cordelia Schmid · 2021
Later among the works it cites.
Video super-resolution transformer
Jiezhang Cao, Yawei Li, Kai Zhang, and Luc Van Gool · 2021
Later among the works it cites.
Crossvit: Cross-attention multi-scale vision transformer for image classification
Chun-Fu Chen, Quanfu Fan, and Rameswar Panda · 2021
Later among the works it cites.
Pre-trained image processing transformer
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, and Wen Gao · 2021
Later among the works it cites.
Hinet: Half instance normalization network for image restoration
Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, and Chengpeng Chen · 2021
Later among the works it cites.
Rethinking coarse-to-fine approach in single image deblurring
Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong, Seung-Won Jung, and Sung-Jea Ko · 2021
Later among the works it cites.
Projected distribution loss for image enhancement
Mauricio Delbracio, Hossein Talebi, and Peyman Milanfar · 2021
Later among the works it cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
Later among the works it cites.
Focal frequency loss for image reconstruction and synthesis
Liming Jiang, Bo Dai, Wayne Wu, and Chen Change Loy · 2021
Later among the works it cites.
Transgan: Two transformers can make one strong gan
Yifan Jiang, Shiyu Chang, and Zhangyang Wang · 2021
Later among the works it cites.
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
Later among the works it cites.
Fnet: Mixing tokens with fourier transforms
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, and Santiago Ontanon · 2021
Later among the works it cites.
Comisr: Compression-informed video super-resolution
Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, and Peyman Milanfar · 2021
Later among the works it cites.
Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
Later among the works it cites.
Hanxiao Liu, Zihang Dai, David R So, and Quoc V Le · 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.
Ntire 2021 challenge on image deblurring
Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, and Kyoung Mu Lee · 2021
Later among the works it cites.
Ntire 2021 challenge on image deblurring
Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, and Kyoung Mu Lee · 2021
Later among the works it cites.
U-net transformer: self and cross attention for medical image segmentation
Olivier Petit, Nicolas Thome, Clement Rambour, Loic Themyr, Toby Collins, and Luc Soler · 2021
Later among the works it cites.
Global filter networks for image classification
Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, and Jie Zhou · 2021
Later among the works it cites.
Toward real-world super-resolution via adaptive downsampling models
Sanghyun Son, Jaeha Kim, Wei-Sheng Lai, Ming-Hsuan Yang, and Kyoung Mu Lee · 2021
Later among the works it cites.
Mlp-mixer: An all-mlp architecture for vision
Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, et al · 2021
Later among the works it cites.
Resmlp: Feedforward networks for image classification with data-efficient training
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, et al · 2021
Later among the works it cites.
Scaling local self-attention for parameter efficient visual backbones
Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake Hechtman, and Jonathon Shlens · 2021
Later among the works it cites.
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan · 2021
Later among the works it cites.
Uformer: A general u-shaped transformer for image restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao, and Jianzhuang Liu · 2021
Later among the works it cites.
Contrastive learning for compact single image dehazing
Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, and Lizhuang Ma · 2021
Later among the works it cites.
Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
Later among the works it cites.
Multi-stage progressive image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2021
Later among the works it cites.
Improved transformer for high-resolution gans
Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N Metaxas, and Han Zhang · 2021
Later among the works it cites.
V2x-vit: Vehicle-to-everything cooperative perception with vision transformer
Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, and Jiaqi Ma · 2022
Closest in time.