Funder
Ministry of Science and ICT, South Korea
Information Technology Research Center
Defense Acquisition Program Administration
Publisher
Springer Science and Business Media LLC
Reference64 articles.
1. Abdelhamed, A., Lin, S., & Brown, M. S. (2018). A high-quality denoising dataset for smartphone cameras. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
2. Abdelhamed, A., Afifi, M., & Timofte, R., et al. (2020). Ntire 2020 challenge on real image denoising: Dataset, methods and results. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
3. Agustsson, E., & Timofte, R. (2017). Ntire 2017 challenge on single image super-resolution: Dataset and study. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
4. Ahmad, W., Ali, H., Shah, Z., et al. (2022). A new generative adversarial network for medical images super resolution. Scientific Reports, 12(1), 9533.
5. Ahn, N., Kang, B., & Sohn, K. A. (2018). Fast, accurate, and lightweight super-resolution with cascading residual network. In Proceedings of the European Conference on Computer Vision (ECCV)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献