Project Github URL: https://github.com/jainnidhi55/RaindropRemoval.git
Dataset Source: https://drive.google.com/open?id=1e7R76s6vwUJxILOcAsthgDLPSnOrQ49K
References:
[1] Qian, R., Tan, R. T., Yang, W., Su, J., & Liu, J. (2018). Attentive generative adversarial network for raindrop removal from a single image. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2482-2491).
[2] Nazeri, K., Ng, E., Joseph, T., Qureshi, F. Z., & Ebrahimi, M. (2019). Edgeconnect: Generative image inpainting with adversarial edge learning. arXiv preprint arXiv:1901.00212.
[3] Garg, K., & Nayar, S.K. (2003). Photometric Model of a Rain Drop.
[4] Li, R., Cheong, L.F., & Tan, R.T. (2019). Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1633-1642.
[5] Nazeri, K., Ng, E., Joseph, T., Qureshi, F., & Ebrahimi, M. (2019, October). EdgeConnect: Structure Guided Image Inpainting using Edge Prediction. The IEEE International Conference on Computer Vision (ICCV) Workshops.
[6] D. Eigen, D. Krishnan, and R. Fergus. Restoring an image taken through a window covered with dirt or rain. In Proceedings of the IEEE International Conference on Computer Vision, pages 633–640, 2013. 2, 3, 6, 7.
[7] P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros. Image-to-image translation with conditional adversarial networks. arXiv preprint arXiv:1611.07004, 2016. 3, 6, 7.
[8] B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba. Places: A 10 million image database for scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017. 2, 5
[9] P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros. Image-to-image translation with conditional adversarial networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 3, 11
[10] Yang, Tao, et al. "Raindrop removal with light field image using image inpainting." IEEE Access 8 (2020): 58416-58426.