218 citations · 728 across the 16 of their papers we have counts for
11 papers · 1 filter
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
Yupu Yao, Shangqi Deng, Zihan Cao +2
Diffusion models have exhibited promising progress in video generation. However, they often struggle to retain consistent details within local regions across frames. One underlying…
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration
Qing-Hua Zhang, Liang-Tian He, Yi-Lun Wang +2
Inspired by the fact that the matrix formulated by nonlocal similar patches in a natural image is of low rank, the rank approximation issue have been extensively investigated over…
Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion
ShangQi Deng, RuoCheng Wu, Liang-Jian Deng +2
Multispectral and Hyperspectral Image Fusion (MHIF) is a practical task that aims to fuse a high-resolution multispectral image (HR-MSI) and a low-resolution hyperspectral image (L…
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion
ZiHan Cao, ShiQi Cao, Xiao Wu +3
Denosing diffusion model, as a generative model, has received a lot of attention in the field of image generation recently, thanks to its powerful generation capability. However, d…
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
Rui-Jie Zhu, Malu Zhang, Qihang Zhao +3
Spiking Neural Networks (SNNs) are attracting widespread interest due to their biological plausibility, energy efficiency, and powerful spatio-temporal information representation a…
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening
Tian-Jing Zhang, Liang-Jian Deng, Ting-Zhu Huang +2
Pansharpening refers to the fusion of a panchromatic image with a high spatial resolution and a multispectral image with a low spatial resolution, aiming to obtain a high spatial r…
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng
Hyperspectral image has become increasingly crucial due to its abundant spectral information. However, It has poor spatial resolution with the limitation of the current imaging mec…
LAConv: Local Adaptive Convolution for Image Fusion
Zi-Rong Jin, Liang-Jian Deng, Tai-Xiang Jiang +1
The convolution operation is a powerful tool for feature extraction and plays a prominent role in the field of computer vision. However, when targeting the pixel-wise tasks like im…
Rain Streak Removal for Single Image via Kernel Guided CNN
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang +3
Rain streak removal is an important issue and has recently been investigated extensively. Existing methods, especially the newly emerged deep learning methods, could remove the rai…
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao +2
Rain streak removal is an important issue in outdoor vision systems and has recently been investigated extensively. In this paper, we propose a novel video rain streak removal appr…
Single image super-resolution by approximated Heaviside functions
Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang
Image super-resolution is a process to enhance image resolution. It is widely used in medical imaging, satellite imaging, target recognition, etc. In this paper, we conduct continu…