1. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein Generative Adversarial Networks . Proceedings of the 34th International Conference on Machine Learning - Volume 70 , 214--223. Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein Generative Adversarial Networks. Proceedings of the 34th International Conference on Machine Learning - Volume 70, 214--223.
2. On the Mathematical Properties of the Structural Similarity Index
3. Baoliang Chen , Lingyu Zhu , Chenqi Kong , Hanwei Zhu , Shiqi Wang , and Zhu Li. 2021b. No-Reference Image Quality Assessment by Hallucinating Pristine Features. arXiv preprint arXiv:2108.04165 ( 2021 ). Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, and Zhu Li. 2021b. No-Reference Image Quality Assessment by Hallucinating Pristine Features. arXiv preprint arXiv:2108.04165 (2021).
4. Liqun Chen , Dong Wang , Zhe Gan , Jingjing Liu , Ricardo Henao , and Lawrence Carin . 2021 a. Wasserstein Contrastive Representation Distillation. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16291--16300 . https://doi.org/10.1109/CVPR46437.2021.01603 Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, and Lawrence Carin. 2021a. Wasserstein Contrastive Representation Distillation. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16291--16300. https://doi.org/10.1109/CVPR46437.2021.01603
5. Image Denoising With Generative Adversarial Networks and its Application to Cell Image Enhancement