213 citations · 392 across the 5 of their papers we have counts for
5 papers
Lightweight Image Inpainting by Stripe Window Transformer with Joint Attention to CNN
Tsung-Jung Liu, Bo-Wei Chen, Kuan-Hsien Liu
Image inpainting is an important task in computer vision. As admirable methods are presented, the inpainted image is getting closer to reality. However, the result is still not goo…
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…