54 citations · 57 across the 15 of their papers we have counts for
4 papers · 1 filter
HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement
Hantang Li, Qiang Zhu, Xiandong Meng +3
In practical applications, low-light images are often compressed for efficient storage and transmission. Most existing methods disregard compression artifacts removal or hardly est…
Plug-and-Play Tri-Branch Invertible Block for Image Rescaling
Jingwei Bao, Jinhua Hao, Pengcheng Xu +3
High-resolution (HR) images are commonly downscaled to low-resolution (LR) to reduce bandwidth, followed by upscaling to restore their original details. Recent advancements in imag…
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal
Qiao Mo, Yukang Ding, Jinhua Hao +5
Deep learning-based methods have shown remarkable performance in single JPEG artifacts removal task. However, existing methods tend to degrade on double JPEG images, which are prev…
CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
Qiang Zhu, Jinhua Hao, Yukang Ding +5
Recently, numerous approaches have achieved notable success in compressed video quality enhancement (VQE). However, these methods usually ignore the utilization of valuable coding…