FC$^2$N: Fully Channel-Concatenated Network for Single Image Super-Resolution

1 code implementation • 7 Jul 2019 • Xiaole Zhao, Ying Liao, Tian He, Yulun Zhang, Yadong Wu, Tao Zhang

Most current image super-resolution (SR) methods based on convolutional neural networks (CNNs) use residual learning in network structural design, which favors to effective back propagation and hence improves SR performance by increasing model scale.

Image Super-Resolution