213 citations · 390 across the 4 of their papers we have counts for
5 papers
Progressive Multi-Scale Super-Resolution via Cascaded Bicubic Anchors and Inter-Scale Mutual Refinement
Chun-An Lin, Yu-Chia Chang, Chi-Mao Fan +2
Super-resolution networks are trained for one magnification factor, so several output resolutions require several models. We propose PMS-SR, a progressive single-input multiple-out…
Compound Multi-branch Feature Fusion for Real Image Restoration
Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu
Image restoration is a challenging and ill-posed problem which also has been a long-standing issue. However, most of learning based restoration methods are proposed to target one d…
Selective Residual M-Net for Real Image Denoising
Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu
Image restoration is a low-level vision task which is to restore degraded images to noise-free images. With the success of deep neural networks, the convolutional neural networks s…
Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement
Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu
Low-Light Image Enhancement is a computer vision task which intensifies the dark images to appropriate brightness. It can also be seen as an ill-posed problem in image restoration…
SUNet: Swin Transformer UNet for Image Denoising
Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu
Image restoration is a challenging ill-posed problem which also has been a long-standing issue. In the past few years, the convolution neural networks (CNNs) almost dominated the c…