Fetching the paper…
Reading the bibliography…
Removing adverse weather conditions like rain, fog, and snow from images is an important problem in many applications.
Nonlinear total variation based noise removal algorithms
Leonid I Rudin, Stanley Osher, and Emad Fatemi · 1992
Earlier work this paper cites.
Perceptual learning and top-down influences in primary visual cortex
Wu Li, Valentin Piëch, and Charles D Gilbert · 2004
Earlier work this paper cites.
Fields of experts: A framework for learning image priors
Stefan Roth and Michael J Black · 2005
Earlier work this paper cites.
Single image haze removal using dark channel prior
Kaiming He, Jian Sun, and Xiaoou Tang · 2010
Earlier work this paper cites.
Automatic single-image-based rain streaks removal via image decomposition
Li-Wei Kang, Chia-Wen Lin, and Yu-Hsiang Fu · 2011
Earlier work this paper cites.
Adaptive shape processing in primary visual cortex
Justin NJ McManus, Wu Li, and Charles D Gilbert · 2011
Earlier work this paper cites.
Dehazing using color-lines
Raanan Fattal · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Adherent raindrop modeling, detectionand removal in video
Shaodi You, Robby T Tan, Rei Kawakami, Yasuhiro Mukaigawa, and Katsushi Ikeuchi · 2015
Earlier work this paper cites.
Non-local image dehazing
Dana Berman, Shai Avidan, et al · 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.
Single image dehazing via multi-scale convolutional neural networks
Wenqi Ren, Si Liu, Hua Zhang, Jinshan Pan, Xiaochun Cao, and Ming-Hsuan Yang · 2016
Earlier work this paper cites.
Xception: Deep learning with depthwise separable convolutions
François Chollet · 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.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 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.
Video desnowing and deraining based on matrix decomposition
Weihong Ren, Jiandong Tian, Zhi Han, Antoni Chan, and Yandong Tang · 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.
Joint bi-layer optimization for single-image rain streak removal
Lei Zhu, Chi-Wing Fu, Dani Lischinski, and Pheng-Ann Heng · 2017
Earlier work this paper cites.
Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
Earlier work this paper cites.
Single image dehazing via conditional generative adversarial network
Runde Li, Jinshan Pan, Zechao Li, and Jinhui Tang · 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.
Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
Earlier work this paper cites.
Desnownet: Context-aware deep network for snow removal
Yun-Fu Liu, Da-Wei Jaw, Shih-Chia Huang, and Jenq-Neng Hwang · 2018
Cited alongside, same era.
Uav-gesture: A dataset for uav control and gesture recognition
Asanka G Perera, Yee Wei Law, and Javaan Chahl · 2018
Cited alongside, same era.
Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
Cited alongside, same era.
Attentive generative adversarial network for raindrop removal from a single image
Rui Qian, Robby T Tan, Wenhan Yang, Jiajun Su, and Jiaying Liu · 2018
Cited alongside, same era.
Gated fusion network for single image dehazing
Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, and Ming-Hsuan Yang · 2018
Cited alongside, same era.
Densely connected pyramid dehazing network
He Zhang and Vishal M Patel · 2018
Sdc-depth: Semantic divide-and-conquer network for monocular depth estimation
Lijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin, and Huchuan Lu · 2020
Later among the works it cites.
Syn2real transfer learning for image deraining using gaussian processes
Rajeev Yasarla, Vishwanath A Sindagi, and Vishal M Patel · 2020
Later among the works it cites.
Exploring overcomplete representations for single image deraining using cnns
Rajeev Yasarla, Jeya Maria Jose Valanarasu, and Vishal M Patel · 2020
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
Closest in time.
Pct: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R Martin, and Shi-Min Hu · 2021
Closest in time.
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.
Stacked dense networks for single-image snow removal
Pengyue Li, Mengshen Yun, Jiandong Tian, Yandong Tang, Guolin Wang, and Chengdong Wu · 2019
Cited alongside, same era.
Heavy rain image restoration: Integrating physics model and conditional adversarial learning
Ruoteng Li, Loong-Fah Cheong, and Robby T Tan · 2019
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, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Cited alongside, same era.
Deep learning for seeing through window with raindrops
Yuhui Quan, Shijie Deng, Yixin Chen, and Hui Ji · 2019
Cited alongside, same era.
Spatial attentive single-image deraining with a high quality real rain dataset
Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, and Rynson WH Lau · 2019
Cited alongside, same era.
Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, and Luc Van Gool · 2021
Closest in time.
Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
Closest in time.
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
Closest in time.
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, and Han Hu · 2021
Closest in time.
Multi-modal fusion transformer for end-to-end autonomous driving
Aditya Prakash, Kashyap Chitta, and Andreas Geiger · 2021
Closest in time.
Etdnet: An efficient transformer deraining model
Qin Qin, Jingke Yan, Qin Wang, Xin Wang, Minyao Li, and Yuqing Wang · 2021
Closest in time.
Removing raindrops and rain streaks in one go
Ruijie Quan, Xin Yu, Yuanzhi Liang, and Yi Yang · 2021
Closest in time.
Sdnet: mutil-branch for single image deraining using swin
Fuxiang Tan, YuTing Kong, Yingying Fan, Feng Liu, Daxin Zhou, Long Chen, Liang Gao, Yurong Qian, et al · 2021
Closest in time.
Medical transformer: Gated axial-attention for medical image segmentation
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, and Vishal M. Patel · 2021
Closest in time.
Pyramid vision transformer: A versatile backbone for dense prediction without convolutions
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, and Ling Shao · 2021
Closest in time.
Uformer: A general u-shaped transformer for image restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao, and Jianzhuang Liu · 2021
Closest in time.
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
Closest in time.
Cvt: Introducing convolutions to vision transformers
Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, and Lei Zhang · 2021
Closest in time.
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
Closest in time.
Transpose: Keypoint localization via transformer
Sen Yang, Zhibin Quan, Mu Nie, and Wankou Yang · 2021
Closest in time.
Multi-stage progressive image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2021
Closest in time.
Hierarchical density-aware dehazing network
Jingang Zhang, Wenqi Ren, Shengdong Zhang, He Zhang, Yunfeng Nie, Zhe Xue, and Xiaochun Cao · 2021
Closest in time.
Deep dense multi-scale network for snow removal using semantic and depth priors
Kaihao Zhang, Rongqing Li, Yanjiang Yu, Wenhan Luo, and Changsheng Li · 2021
Closest in time.
Hybrid local-global transformer for image dehazing
Dong Zhao, Jia Li, Hongyu Li, and Long Xu · 2021
Closest in time.
Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip HS Torr, et al · 2021
Closest in time.