Fetching the paper…
Reading the bibliography…
The key to shadow removal is recovering the contents of the shadow regions with the guidance of the non-shadow regions.
Cucchiara, R., Grana, C., Piccardi, M., Prati, A.: Detecting moving objects, ghosts, and shadows in video streams. IEEE Transactions on Pattern Analysis and Machine Intelligence 25
2003
Earlier work this paper cites.
Pérez, P., Gangnet, M., Blake, A.: Poisson image editing. In: ACM SIGGRAPH, pp. 313–318 (2003)
2003
Earlier work this paper cites.
Nadimi, S., Bhanu, B.: Physical models for moving shadow and object detection in video. IEEE Transactions on Pattern Analysis and Machine Intelligence 26
2004
Earlier work this paper cites.
Finlayson, G.D., Hordley, S.D., Lu, C., Drew, M.S.: On the removal of shadows from images. IEEE Transactions on Pattern Analysis and Machine Intelligence 28
2005
Earlier work this paper cites.
Shor, Y., Lischinski, D.: The shadow meets the mask: Pyramid-based shadow removal. In: Computer Graphics Forum. vol. 27, pp. 577–586 (2008)
2008
Earlier work this paper cites.
Wen, C.L., Hsieh, C.H., Chen, B.Y., Ouhyoung, M.: Example-based multiple local color transfer by strokes. In: Computer Graphics Forum. vol. 27, pp. 1765–1772 (2008)
2008
Earlier work this paper cites.
Finlayson, G.D., Drew, M.S., Lu, C.: Entropy minimization for shadow removal. International Journal of Computer Vision 85
2009
Earlier work this paper cites.
Jung, C.R.: Efficient background subtraction and shadow removal for monochromatic video sequences. IEEE Transactions on Multimedia 11
2009
Earlier work this paper cites.
Sanin, A., Sanderson, C., Lovell, B.C.: Improved shadow removal for robust person tracking in surveillance scenarios. In: Proceedings of the 20th International Conference on Pattern Recognition. pp. 141–144 (2010)
2010
Earlier work this paper cites.
Guo, R., Dai, Q., Hoiem, D.: Single-image shadow detection and removal using paired regions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2033–2040 (2011)
2011
Earlier work this paper cites.
Guo, R., Dai, Q., Hoiem, D.: Paired regions for shadow detection and removal. IEEE Transactions on Pattern Analysis and Machine Intelligence 35
2012
Earlier work this paper cites.
Xiao, C., She, R., Xiao, D., Ma, K.L.: Fast shadow removal using adaptive multi-scale illumination transfer. In: Computer Graphics Forum. vol. 32, pp. 207–218 (2013)
2013
Earlier work this paper cites.
Gryka, M., Terry, M., Brostow, G.J.: Learning to remove soft shadows. ACM Transactions on Graphics 34
2015
Earlier work this paper cites.
Ioffe, S., Szegedy, C.: Batch normalization: Accelerating deep network training by reducing internal covariate shift. In: Proceedings of the International Conference on Machine Learning. pp. 448–456 (2015)
2015
Earlier work this paper cites.
Ronneberger, O., Fischer, P., Brox, T.: U-Net: Convolutional networks for biomedical image segmentation. In: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 234–241 (2015)
2015
Earlier work this paper cites.
Zhang, L., Zhang, Q., Xiao, C.: Shadow remover: Image shadow removal based on illumination recovering optimization. IEEE Transactions on Image Processing 24
2015
Earlier work this paper cites.
Gong, H., Cosker, D.: Interactive removal and ground truth for difficult shadow scenes. Journal of the Optical Society of America A 33
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
Qu, L., Tian, J., He, S., Tang, Y., Lau, R.W.: DeshadowNet: A multi-context embedding deep network for shadow removal. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4067–4075 (2017)
2017
Cited alongside, same era.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. Advances in Neural Information Processing Systems 30
2017
Cited alongside, same era.
Vicente, T.F.Y., Hoai, M., Samaras, D.: Leave-one-out kernel optimization for shadow detection and removal. IEEE Transactions on Pattern Analysis and Machine Intelligence 40
2017
Cited alongside, same era.
Wang, J., Li, X., Yang, J.: Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1788–1797 (2018)
2018
Cited alongside, same era.
Chen, L., Lu, X., Zhang, J., Chu, X., Chen, C.: Hinet: Half instance normalization network for image restoration. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 182–192 (2021)
2021
Later among the works it cites.
Chen, Z., Long, C., Zhang, L., Xiao, C.: Canet: A context-aware network for shadow removal. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4743–4752 (2021)
2021
Later among the works it cites.
Fu, L., Zhou, C., Guo, Q., Juefei-Xu, F., Yu, H., Feng, W., Liu, Y., Wang, S.: Auto-exposure fusion for single-image shadow removal. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10571–10580 (2021)
2021
Later among the works it cites.
Jin, Y., Sharma, A., Tan, R.T.: DC-ShadowNet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5027–5036 (2021)
2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wang, X., Girshick, R., Gupta, A., He, K.: Non-local neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 7794–7803 (2018)
2018
Cited alongside, same era.
Yarlagadda, S.K., Zhu, F.: A reflectance based method for shadow detection and removal. In: Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation. pp. 9–12 (2018)
2018
Cited alongside, same era.
Zhang, W., Zhao, X., Morvan, J.M., Chen, L.: Improving shadow suppression for illumination robust face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 41
2018
Cited alongside, same era.
Ding, B., Long, C., Zhang, L., Xiao, C.: Argan: Attentive recurrent generative adversarial network for shadow detection and removal. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 10213–10222 (2019)
2019
Cited alongside, same era.
Hu, X., Fu, C.W., Zhu, L., Qin, J., Heng, P.A.: Direction-aware spatial context features for shadow detection and removal. IEEE Transactions on Pattern Analysis and Machine Intelligence 42
2019
Cited alongside, same era.
Hu, X., Jiang, Y., Fu, C.W., Heng, P.A.: Mask-ShadowGAN: Learning to remove shadows from unpaired data. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 2472–2481 (2019)
2019
Cited alongside, same era.
Le, H., Samaras, D.: Shadow removal via shadow image decomposition. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 8578–8587 (2019)
2019
Cited alongside, same era.
Cun, X., Pun, C.M., Shi, C.: Towards ghost-free shadow removal via dual hierarchical aggregation network and shadow matting gan. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 34, pp. 10680–10687 (2020)
2020
Cited alongside, same era.
Later among the works it cites.
Le, H., Samaras, D.: Physics-based shadow image decomposition for shadow removal. IEEE Transactions on Pattern Analysis and Machine Intelligence (01), 1–1 (2021)
2021
Later among the works it cites.
Ling, J., Xue, H., Song, L., Xie, R., Gu, X.: Region-aware adaptive instance normalization for image harmonization. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9361–9370 (2021)
2021
Later among the works it cites.
Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B.: Swin transformer: Hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 10012–10022 (2021)
2021
Later among the works it cites.
Liu, Z., Yin, H., Wu, X., Wu, Z., Mi, Y., Wang, S.: From shadow generation to shadow removal. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4927–4936 (2021)
2021
Later among the works it cites.
Vasluianu, F.A., Romero, A., Van Gool, L., Timofte, R.: Shadow removal with paired and unpaired learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 826–835 (2021)
2021
Later among the works it cites.
Wang, N., Zhang, Y., Zhang, L.: Dynamic selection network for image inpainting. IEEE Transactions on Image Processing 30
2021
Later among the works it cites.
Gao, J., Zheng, Q., Guo, Y.: Towards real-world shadow removal with a shadow simulation method and a two-stage framework. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 599–608 (2022)
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
Wang, Z., Cun, X., Bao, J., Zhou, W., Liu, J., Li, H.: Uformer: A general u-shaped transformer for image restoration. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 17683–17693 (2022)
2022
Closest in time.
Xu, X., Wang, R., Fu, C.W., Jia, J.: SNR-aware low-light image enhancement. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 17714–17724 (2022)
2022
Closest in time.
Zamir, S.W., Arora, A., Khan, S., Hayat, M., Khan, F.S., Yang, M.H.: Restormer: Efficient transformer for high-resolution image restoration. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5728–5739 (2022)
2022
Closest in time.
Zhu, Y., Huang, J., Fu, X., Zhao, F., Sun, Q., Zha, Z.J.: Bijective mapping network for shadow removal. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5627–5636 (2022)
2022
Closest in time.