Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …

Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

The explosion of visual content available online underscores the requirement for an
accurate machine assessor to robustly evaluate scores across diverse types of visual …

Multi-modality large language models (MLLMs) as represented by GPT-4V have introduced
a paradigm shift for visual perception and understanding tasks that a variety of abilities can …

The rapid increase in user-generated-content (UGC) videos calls for the development of
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …

The rapid evolution of Multi-modality Large Language Models (MLLMs) has catalyzed a shift
in computer vision from specialized models to general-purpose foundation models …

Comparative settings (eg. pairwise choice, listwise ranking) have been adopted by a wide
range of subjective studies for image quality assessment (IQA), as it inherently standardizes …

This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content
Challenge which will be held in conjunction with the New Trends in Image Restoration and …

This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge highlighting the
proposed solutions and results. This challenge aims to obtain an efficient deep neural …