Fetching the paper…
Reading the bibliography…
Recent deep learning methods have achieved promising results in image shadow removal.
The retinex theory of color vision
Land, E. H. 1977 · 1977
Earlier work this paper cites.
Compositing digital images
Porter, T.; and Duff, T. 1984 · 1984
Earlier work this paper cites.
Detecting moving objects, ghosts, and shadows in video streams
Cucchiara, R.; Grana, C.; Piccardi, M.; and Prati, A. 2003 · 2003
Earlier work this paper cites.
Physical models for moving shadow and object detection in video
Nadimi, S.; and Bhanu, B. 2004 · 2004
Earlier work this paper cites.
Efficient background subtraction and shadow removal for monochromatic video sequences
Jung, C. R. 2009 · 2009
Earlier work this paper cites.
An image is worth 16x16 words: Transformers for image recognition at scale. arXiv 2020
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; et al. 2010 · 2010
Earlier work this paper cites.
Improved shadow removal for robust person tracking in surveillance scenarios
Sanin, A.; Sanderson, C.; and Lovell, B. C. 2010 · 2010
Earlier work this paper cites.
Paired regions for shadow detection and removal
Guo, R.; Dai, Q.; and Hoiem, D. 2012 · 2012
Earlier work this paper cites.
Fast shadow removal using adaptive multi-scale illumination transfer
Xiao, C.; She, R.; Xiao, D.; and Ma, K.-L. 2013 · 2013
Earlier work this paper cites.
Learning to remove soft shadows
Gryka, M.; Terry, M.; and Brostow, G. J. 2015 · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O.; Fischer, P.; and Brox, T. 2015 · 2015
Earlier work this paper cites.
Shadow remover: Image shadow removal based on illumination recovering optimization
Zhang, L.; Zhang, Q.; and Xiao, C. 2015 · 2015
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
Loshchilov, I.; and Hutter, F. 2016 · 2016
Cited alongside, same era.
Decoupled weight decay regularization
Loshchilov, I.; and Hutter, F. 2017 · 2017
Cited alongside, same era.
Deshadownet: A multi-context embedding deep network for shadow removal
Qu, L.; Tian, J.; He, S.; Tang, Y.; and Lau, R. W. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Aggregated residual transformations for deep neural networks
Xie, S.; Girshick, R.; Dollár, P.; Tu, Z.; and He, K. 2017 · 2017
Cited alongside, same era.
Conditional gans for multi-illuminant color constancy: Revolution or yet another approach?
Sidorov, O. 2019 · 2019
Later among the works it cites.
Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
Cun, X.; Pun, C.-M.; and Shi, C. 2020 · 2020
Later among the works it cites.
Direction-Aware Spatial Context Features for Shadow Detection and Removal
Hu, X.; Fu, C.-W.; Zhu, L.; Qin, J.; and Heng, P.-A. 2020 · 2020
Later among the works it cites.
Learning from synthetic shadows for shadow detection and removal
Inoue, N.; and Yamasaki, T. 2020 · 2020
Later among the works it cites.
Auto-exposure fusion for single-image shadow removal
Fu, L.; Zhou, C.; Guo, Q.; Juefei-Xu, F.; Yu, H.; Feng, W.; Liu, Y.; and Wang, S. 2021 · 2021
Later among the works it cites.
Multi-Scale Feature Guided Low-Light Image Enhancement
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Hu, J.; Shen, L.; and Sun, G. 2018 · 2018
Cited alongside, same era.
Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal
Wang, J.; Li, X.; and Yang, J. 2018 · 2018
Cited alongside, same era.
Improving shadow suppression for illumination robust face recognition
Zhang, W.; Zhao, X.; Morvan, J.-M.; and Chen, L. 2018 · 2018
Cited alongside, same era.
Argan: Attentive recurrent generative adversarial network for shadow detection and removal
Ding, B.; Long, C.; Zhang, L.; and Xiao, C. 2019 · 2019
Cited alongside, same era.
Mask-ShadowGAN: Learning to remove shadows from unpaired data
Hu, X.; Jiang, Y.; Fu, C.-W.; and Heng, P.-A. 2019 · 2019
Cited alongside, same era.
Shadow removal via shadow image decomposition
Le, H.; and Samaras, D. 2019 · 2019
Cited alongside, same era.
Pre-trained image processing transformer
Chen, H.; Wang, Y.; Guo, T.; Xu, C.; Deng, Y.; Liu, Z.; Ma, S.; Xu, C.; Xu, C.; and Gao, W. 2021a
Cited in the paper.
Guo, L.; Wan, R.; Su, G.-M.; Kot, A. C.; and Wen, B. 2021b · 2021
Later among the works it cites.
Self-convolution: A highly-efficient operator for non-local image restoration
Guo, L.; Zha, Z.; Ravishankar, S.; and Wen, B. 2021c · 2021
Later among the works it cites.
Swinir: Image restoration using swin transformer
Liang, J.; Cao, J.; Sun, G.; Zhang, K.; Van Gool, L.; and Timofte, R. 2021 · 2021
Later among the works it cites.
Swin transformer: Hierarchical vision transformer using shifted windows
Liu, Z.; Lin, Y.; Cao, Y.; Hu, H.; Wei, Y.; Zhang, Z.; Lin, S.; and Guo, B. 2021 · 2021
Later among the works it cites.
Uformer: A general u-shaped transformer for image restoration
Wang, Z.; Cun, X.; Bao, J.; and Liu, J. 2021 · 2021
Later among the works it cites.
Efficient Model-Driven Network for Shadow Removal
Zhu, Y.; Xiao, Z.; Fang, Y.; Fu, X.; Xiong, Z.; and Zha, Z.-J. 2022 · 2022
Later among the works it cites.