Fetching the paper…
Reading the bibliography…
Deep learning-based methods have made significant achievements for image dehazing.
Charbonnier, P., Blanc-Feraud, L., Aubert, G., Barlaud, M.: Two deterministic half-quadratic regularization algorithms for computed imaging. In: Proceedings of 1st International Conference on Image Processing. vol. 2, pp. 168–172. IEEE (1994)
1994
Earlier work this paper cites.
Narasimhan, S.G., Nayar, S.K.: Contrast restoration of weather degraded images. IEEE transactions on pattern analysis and machine intelligence 25
2003
Earlier work this paper cites.
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: 2009 IEEE conference on computer vision and pattern recognition. pp. 248–255. Ieee (2009)
2009
Earlier work this paper cites.
He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. IEEE transactions on pattern analysis and machine intelligence 33
2010
Earlier work this paper cites.
Fattal, R.: Dehazing using color-lines. ACM Trans. Graph. 34
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Zhu, Q., Mai, J., Shao, L.: A fast single image haze removal algorithm using color attenuation prior. IEEE Trans. Image Process. 24
2015
Earlier work this paper cites.
Berman, D., Avidan, S., et al.: Non-local image dehazing. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1674–1682 (2016)
2016
Earlier work this paper cites.
Cai, B., Xu, X., Jia, K., Qing, C., Tao, D.: Dehazenet: An end-to-end system for single image haze removal. IEEE Transactions on Image Processing 25
2016
Earlier work this paper cites.
Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., Yang, M.H.: Single image dehazing via multi-scale convolutional neural networks. In: Proc. Eur. Conf. Comput. Vis. pp. 154–169 (2016)
2016
Earlier work this paper cites.
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1125–1134 (2017)
2017
Cited alongside, same era.
Li, B., Peng, X., Wang, Z., Xu, J., Feng, D.: Aod-net: All-in-one dehazing network. In: Proceedings of the IEEE international conference on computer vision. pp. 4770–4778 (2017)
2017
Cited alongside, same era.
2018
Cited alongside, same era.
Li, B., Ren, W., Fu, D., Tao, D., Feng, D., Zeng, W., Wang, Z.: Benchmarking single-image dehazing and beyond. IEEE Transactions on Image Processing 28
2018
Cited alongside, same era.
Hong, M., Xie, Y., Li, C., Qu, Y.: Distilling image dehazing with heterogeneous task imitation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3462–3471 (2020)
2020
Later among the works it cites.
Ju, M., Ding, C., Guo, Y.J., Zhang, D.: IDGCP: image dehazing based on gamma correction prior. IEEE Trans. Image Process. 29
2020
Later among the works it cites.
Liu, J., Wu, H., Xie, Y., Qu, Y., Ma, L.: Trident dehazing network. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. pp. 430–431 (2020)
2020
Later among the works it cites.
Qin, X., Wang, Z., Bai, Y., Xie, X., Jia, H.: Ffa-net: Feature fusion attention network for single image dehazing. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 34, pp. 11908–11915 (2020)
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…
Ren, W., Ma, L., Zhang, J., Pan, J., Cao, X., Liu, W., Yang, M.H.: Gated fusion network for single image dehazing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3253–3261 (2018)
2018
Cited alongside, same era.
Trung, B.M., Kim, W.: Single image dehazing using color ellipsoid prior. IEEE Trans. Image Process. 27
2018
Cited alongside, same era.
Li, L., Dong, Y., Ren, W., Pan, J., Gao, C., Song, Y., Ming-Hsuan, Y.: Semi-supervised image dehazing. IEEE Transactions on Image Processing 19
2019
Cited alongside, same era.
Liu, X., Ma, Y., Shi, Z., Chen, J.: Griddehazenet: Attention-based multi-scale network for image dehazing. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 7314–7323 (2019)
2019
Cited alongside, same era.
Berman, D., Treibitz, T., Avidan, S.: Single image dehazing using haze-lines. IEEE Trans. Pattern Anal. Mach. Intell. 42
2020
Cited alongside, same era.
Dong, H., Pan, J., Xiang, L., Hu, Z., Zhang, X., Wang, F., Yang, M.H.: Multi-scale boosted dehazing network with dense feature fusion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2157–2167 (2020)
2020
Cited alongside, same era.
Shao, Y., Li, L., Ren, W., Gao, C., Sang, N.: Domain adaptation for image dehazing. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)
2020
Later among the works it cites.
Chen, Z., Wang, Y., Yang, Y., Liu, D.: Psd: Principled synthetic-to-real dehazing guided by physical priors. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 7180–7189 (June 2021)
2021
Later among the works it cites.
Ju, M., Ding, C., Guo, C.A., Ren, W., Tao, D.: IDRLP: image dehazing using region line prior. IEEE Trans. Image Process. 30
2021
Later among the works it cites.
Liu, Y., Zhu, L., Pei, S., Fu, H., Qin, J., Zhang, Q., Wan, L., Feng, W.: From synthetic to real: Image dehazing collaborating with unlabeled real data. In: ACM Multimedia. pp. 50–58. ACM (2021)
2021
Later among the works it cites.
Shyam, P., Yoon, K., Kim, K.: Towards domain invariant single image dehazing. In: AAAI. pp. 9657–9665. AAAI Press (2021)
2021
Later among the works it cites.
Wu, H., Qu, Y., Lin, S., Zhou, J., Qiao, R., Zhang, Z., Xie, Y., Ma, L.: Contrastive learning for compact single image dehazing. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10551–10560 (2021)
2021
Later among the works it cites.