Author:
Wang Wei,Feng Rui,Li XiuHan,Yu JunXiao,Cao Da,Li YiShuo,Wu XiaoLing
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference23 articles.
1. Chao D, Chen CL, He K, Tang XO. Learning a Deep Convolutional Network for Image Super-Resolution . Zurich. European Conference on Computer Vision (ECCV), 2014.
2. Wang X, Yu K, Wu S, Gu J, Liu Y, Dong C, et al. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. Munich. European Conference on Computer Vision, 2018.
3. Wang S, Su Z, Ying L, Peng X, Zhu S, Liang F, et al. Accelerating Magnetic Resonance Imaging via Deep Learning. Prague. IEEE International Symposium on Biomedical Imaging; 2016.
4. Image super-resolution reconstruction based on improved K-SVD dictionary-learning (In Chinese);Shi;Acta Electronica Sin,2013
5. Joint-Feature Guided Depth Map Super-Resolution with Face Priors;Yang;IEEE Trans Cybern;,2018