29 citations · 31 across the 6 of their papers we have counts for
7 papers
ATT-CR: Adaptive Triangular Transformer for Cloud Removal
Yang Wu, Ye Deng, Pengna Li +4
Cloud removal aims to accurately reconstruct the ground objects obscured by clouds in remote sensing images. Existing Transformer-based methods utilizing self-attention have shown…
Task-Guided Prompting for Unified Remote Sensing Image Restoration
Wenli Huang, Yang Wu, Xiaomeng Xin +3
Remote sensing image restoration (RSIR) is essential for recovering high-fidelity imagery from degraded observations, enabling accurate downstream analysis. However, most existing…
CEM-Net: Cross-Emotion Memory Network for Emotional Talking Face Generation
Kangyi Wu, Pengna Li, Jingwen Fu +4
Emotional talking face generation aims to animate a human face in given reference images and generate a talking video that matches the content and emotion of driving audio. However…
Attentive Contextual Attention for Cloud Removal
Wenli Huang, Ye Deng, Yang Wu +1
Cloud cover can significantly hinder the use of remote sensing images for Earth observation, prompting urgent advancements in cloud removal technology. Recently, deep learning stra…
A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation
Shu Tang, Yang Wu, Hongxing Qin +3
Most existing deep-learning-based single image dynamic scene blind deblurring (SIDSBD) methods usually design deep networks to directly remove the spatially-variant motion blurs fr…
Auxiliary Loss Reweighting for Image Inpainting
Siqi Hui, Sanping Zhou, Ye Deng +2
Image Inpainting is a task that aims to fill in missing regions of corrupted images with plausible contents. Recent inpainting methods have introduced perceptual and style losses a…