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Snow removal causes challenges due to its characteristic of complex degradations.
“Two deterministic half-quadratic regularization algorithms for computed imaging,”
Pierre Charbonnier, Laure Blanc-Feraud, Gilles Aubert, and Michel Barlaud, · 1994
Earlier work this paper cites.
“Removing snow from an image via image decomposition,”
Dhanashree Rajderkar and PS Mohod, · 2013
Earlier work this paper cites.
“Single-image-based rain and snow removal using multi-guided filter,”
Xianhui Zheng, Yinghao Liao, Wei Guo, Xueyang Fu, and Xinghao Ding, · 2013
Earlier work this paper cites.
“Removing rain and snow in a single image using saturation and visibility features,”
Soo-Chang Pei, Yu-Tai Tsai, and Chen-Yu Lee, · 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.
“A hierarchical approach for rain or snow removing in a single color image,”
Yinglong Wang, Shuaicheng Liu, Chen Chen, and Bing Zeng, · 2017
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
Earlier work this paper cites.
“Squeeze-and-excitation networks,”
Jie Hu, Li Shen, and Gang Sun, · 2018
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“Cycle-dehaze: Enhanced cyclegan for single image dehazing,”
Deniz Engin, Anil Genç, and Hazim Kemal Ekenel, · 2018
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“All in one bad weather removal using architectural search,”
Ruoteng Li, Robby T Tan, and Loong-Fah Cheong, · 2020
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“Jstasr: Joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal,”
Wei-Ting Chen, Hao-Yu Fang, Jian-Jiun Ding, Cheng-Che Tsai, and Sy-Yen Kuo, · 2020
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“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, et al., · 2020
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“Restormer: Efficient transformer for high-resolution image restoration,”
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang, · 2021
“Perceiving and modeling density for image dehazing,”
Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, and Erkang Chen, · 2022
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“Underwater light field retention: Neural rendering for underwater imaging,”
Tian Ye, Sixiang Chen, Yun Liu, Yi Ye, Erkang Chen, and Yuche Li, · 2022
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“Unsupervised night image enhancement: When layer decomposition meets light-effects suppression,”
Yeying Jin, Wenhan Yang, and Robby T Tan, · 2022
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“Mutual learning for domain adaptation: Self-distillation image dehazing network with sample-cycle,”
Tian Ye, Yun Liu, Yunchen Zhang, Sixiang Chen, and Erkang Chen, · 2022
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“Towards real-time high-definition image snow removal: Efficient pyramid network with asymmetrical encoder-decoder architecture,”
Tian Ye, Sixiang Chen, Yun Liu, Yi Ye, Jinbin Bai, and Erkang Chen, · 2022
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Cited alongside, same era.
“All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,”
Wei-Ting Chen, Hao-Yu Fang, Cheng-Lin Hsieh, Cheng-Che Tsai, I Chen, Jian-Jiun Ding, Sy-Yen Kuo, et al., · 2021
Cited alongside, same era.
“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
Cited alongside, same era.
“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
Cited alongside, same era.
“Snowformer: Scale-aware transformer via context interaction for single image desnowing,”
Sixiang Chen, Tian Ye, Yun Liu, Erkang Chen, Jun Shi, and Jingchun Zhou, · 2022
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“Shunted self-attention via multi-scale token aggregation,”
Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, and Xinchao Wang, · 2022
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“Transweather: Transformer-based restoration of images degraded by adverse weather conditions,”
Jeya Maria Jose Valanarasu, Rajeev Yasarla, and Vishal M Patel, · 2022
Closest in time.