A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Fast and Accurate Single Image Super-Resolution via Information Distillation Network
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Recently, deep convolutional neural networks (CNNs) have been demonstrated remarkable progress on single image super-resolution. However, as the depth and width of the networks increase, CNN-based super-resolution methods have been faced with the challenges of computational complexity and memory consumption in practice. In order to solve the above questions, we propose a deep but compact convolutional network to directly reconstruct the high resolution image from the original low resolution
doi:10.1109/cvpr.2018.00082
dblp:conf/cvpr/HuiWG18
fatcat:5k7jyf534bhanmvpk66exvlzxq