Funder
Ministry of Science and ICT, South Korea
Information Technology Research Center
Defense Acquisition Program Administration
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
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)