Author:
Lu Xiangyu,Zhang Jianlin,Yang Rui,Yang Qina,Chen Mengyuan,Xu Hongxing,Wan Pinjun,Guo Jiawen,Liu Fei
Reference75 articles.
1. Spatial super resolution of real-world aerial images for image-based plant phenotyping;Aslahishahri;Remote Sens. (Basel),2021
2. Single image super-resolution based on directional variance attention network;Behjati;Pattern Recogn.,2023
3. Bell-Kligler, S., Shocher, A., Irani, M., 2019. Blind Super-Resolution Kernel Estimation using an Internal-GAN, in: Advances in Neural Information Processing Systems. Curran Associates, Inc. doi: 10.48550/arXiv.1909.06581.
4. Blau, Y., Mechrez, R., Timofte, R., Michaeli, T., Zelnik-Manor, L., 2019. The 2018 PIRM Challenge on Perceptual Image Super-Resolution, in: Leal-Taixé, L., Roth, S. (Eds.), Computer Vision – ECCV 2018 Workshops, Lecture Notes in Computer Science. Springer International Publishing, Cham, pp. 334–355. doi: 10.1007/978-3-030-11021-5_21.
5. Cai, J., Zeng, H., Yong, H., Cao, Z., Zhang, L., 2019. Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model, in: 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, Seoul, Korea (South), pp. 3086–3095. doi: 10.1109/ICCV.2019.00318