54 citations · 58 across the 21 of their papers we have counts for
11 papers · 1 filter
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…
A New Dataset and Framework for Real-World Blurred Images Super-Resolution
Rui Qin, Ming Sun, Chao Zhou +1
Recent Blind Image Super-Resolution (BSR) methods have shown proficiency in general images. However, we find that the efficacy of recent methods obviously diminishes when employed…
QPT V2: Masked Image Modeling Advances Visual Scoring
Qizhi Xie, Kun Yuan, Yunpeng Qu +4
Quality assessment and aesthetics assessment aim to evaluate the perceived quality and aesthetics of visual content. Current learning-based methods suffer greatly from the scarcity…
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
Kun Yuan, Hongbo Liu, Mading Li +6
Video quality assessment (VQA) is a challenging problem due to the numerous factors that can affect the perceptual quality of a video, \eg, content attractiveness, distortion type,…
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
Xin Li, Kun Yuan, Yajing Pei +65
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…
NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results
Zheng Chen, Zongwei Wu, Eduard Zamfir +85
This paper reviews the NTIRE 2024 challenge on image super-resolution (4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating…
CasSR: Activating Image Power for Real-World Image Super-Resolution
Haolan Chen, Jinhua Hao, Kai Zhao +4
The objective of image super-resolution is to generate clean and high-resolution images from degraded versions. Recent advancements in diffusion modeling have led to the emergence…
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…
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
Yunpeng Qu, Kun Yuan, Kai Zhao +4
Diffusion-based methods, endowed with a formidable generative prior, have received increasing attention in Image Super-Resolution (ISR) recently. However, as low-resolution (LR) im…
KVQ: Kwai Video Quality Assessment for Short-form Videos
Yiting Lu, Xin Li, Yajing Pei +6
Short-form UGC video platforms, like Kwai and TikTok, have been an emerging and irreplaceable mainstream media form, thriving on user-friendly engagement, and kaleidoscope creation…