Edit Social Preview
Upload an image to customize your repository’s social media preview.
Images should be at least 640×320px (1280×640px for best display).
Upload an image to customize your repository’s social media preview.
Images should be at least 640×320px (1280×640px for best display).
Recent research on super-resolution has progressed with the development of deep convolutional neural networks (DCNN). In particular, residual learning techniques exhibit improved performance... In this paper, we develop an enhanced deep super-resolution network (EDSR) with performance exceeding those of current state-of-the-art SR methods. The significant performance improvement of our model is due to optimization by removing unnecessary modules in conventional residual networks. The performance is further improved by expanding the model size while we stabilize the training procedure. We also propose a new multi-scale deep super-resolution system (MDSR) and training method, which can reconstruct high-resolution images of different upscaling factors in a single model. The proposed methods show superior performance over the state-of-the-art methods on benchmark datasets and prove its excellence by winning the NTIRE2017 Super-Resolution Challenge. read more
PDF Abstract
Colab
BSD
FFHQ
Set14
Urban100
Set5
Manga109
