6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Image Super-Resolution with Deep Dictionary
Shunta Maeda
Since the first success of Dong et al., the deep-learning-based approach has become dominant in the field of single-image super-resolution. This replaces all the handcrafted image…
eess.IV2020★ 6 cited
Unpaired Image Super-Resolution using Pseudo-Supervision
Shunta Maeda
In most studies on learning-based image super-resolution (SR), the paired training dataset is created by downscaling high-resolution (HR) images with a predetermined operation (e.g…
cs.CV2019
Fast and Flexible Image Blind Denoising via Competition of Experts
Shunta Maeda
Fast and flexible processing are two essential requirements for a number of practical applications of image denoising. Current state-of-the-art methods, however, still require eith…