4 papers
Pioneering Perceptual Video Fluency Assessment: A Novel Task with Benchmark Dataset and Baseline
Qizhi Xie, Kun Yuan, Yunpeng Qu +3
Accurately estimating humans' subjective feedback on video fluency, e.g., motion consistency and frame continuity, is crucial for various applications like streaming and gaming. Ye…
Score2Instruct: Scaling Up Video Quality-Centric Instructions via Automated Dimension Scoring
Qizhi Xie, Kun Yuan, Yunpeng Qu +5
Classical video quality assessment methods generate a numerical score to judge a video's perceived visual fidelity and clarity. Yet, a score fails to describe the video's complex q…
KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perception
Yunpeng Qu, Kun Yuan, Qizhi Xie +3
Video Quality Assessment (VQA), which intends to predict the perceptual quality of videos, has attracted increasing attention. Due to factors like motion blur or specific distortio…
Visual Autoregressive Modeling for Image Super-Resolution
Yunpeng Qu, Kun Yuan, Jinhua Hao +4
Image Super-Resolution (ISR) has seen significant progress with the introduction of remarkable generative models. However, challenges such as the trade-off issues between fidelity…