85 citations · 309 across the 58 of their papers we have counts for
9 papers · 2 filters
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
Tao Wang, Kaihao Zhang, Tianrun Shen +3
As the quality of optical sensors improves, there is a need for processing large-scale images. In particular, the ability of devices to capture ultra-high definition (UHD) images a…
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
Tao Wang, Guangpin Tao, Wanglong Lu +4
Image restoration under hazy weather condition, which is called single image dehazing, has been of significant interest for various computer vision applications. In recent years, d…
Deep Face Restoration: A Survey
Tao Wang, Kaihao Zhang, Jiankang Deng +3
Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Quality (LQ) input images, which is a domain-specific image restoration problem in the low-level computer vis…
Generalised Co-Salient Object Detection
Jiawei Liu, Jing Zhang, Ruikai Cui +3
We propose a new setting that relaxes an assumption in the conventional Co-Salient Object Detection (CoSOD) setting by allowing the presence of "noisy images" which do not show the…
Blind Face Restoration: Benchmark Datasets and a Baseline Model
Puyang Zhang, Kaihao Zhang, Wenhan Luo +2
Blind Face Restoration (BFR) aims to construct a high-quality (HQ) face image from its corresponding low-quality (LQ) input. Recently, many BFR methods have been proposed and they…
Multi-Prior Learning via Neural Architecture Search for Blind Face Restoration
Yanjiang Yu, Puyang Zhang, Kaihao Zhang +4
Blind Face Restoration (BFR) aims to recover high-quality face images from low-quality ones and usually resorts to facial priors for improving restoration performance. However, cur…