6 citations · 11 across the 8 of their papers we have counts for
6 papers · 1 filter
Blind Image Super-resolution with Rich Texture-Aware Codebooks
Rui Qin, Ming Sun, Fangyuan Zhang +2
Blind super-resolution (BSR) methods based on high-resolution (HR) reconstruction codebooks have achieved promising results in recent years. However, we find that a codebook based…
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment
Hongbo Liu, Mingda Wu, Kun Yuan +5
Video quality assessment (VQA) has attracted growing attention in recent years. While the great expense of annotating large-scale VQA datasets has become the main obstacle for curr…
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment
Kun Yuan, Zishang Kong, Chuanchuan Zheng +2
Video Quality Assessment (VQA), which aims to predict the perceptual quality of a video, has attracted raising attention with the rapid development of streaming media technology, s…
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment
Kai Zhao, Kun Yuan, Ming Sun +1
Video quality assessment (VQA) aims to simulate the human perception of video quality, which is influenced by factors ranging from low-level color and texture details to high-level…
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Kai Zhao, Kun Yuan, Ming Sun +2
Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality of a single image, whose performance has been improved by deep learning-based methods in…
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping
Gang He, Shaoyi Long, Li Xu +5
Joint super-resolution and inverse tone-mapping (SR-ITM) aims to enhance the visual quality of videos that have quality deficiencies in resolution and dynamic range. This problem a…