1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
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…
cs.CV2023★ 1 cited
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…
cs.CV2023
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…