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 …

Despite significant progress in generative AI, comprehensive evaluation remains
challenging because of the lack of effective metrics and standardized benchmarks. For …

Large multimodal models (LMMs) are processing increasingly longer and richer inputs.
Albeit the progress, few public benchmark is available to measure such development. To …

Diffusion models have demonstrated impressive performance in various image generation,
editing, enhancement and translation tasks. In particular, the pre-trained text-to-image stable …

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 …

Abstract While Multimodal Large Language Models (MLLMs) have experienced significant
advancement in visual understanding and reasoning, their potential to serve as powerful …

With the rapid advancements in AI-Generated Content (AIGC) AI-Generated Images (AIGIs)
have been widely applied in entertainment education and social media. However due to the …

We introduce a Depict ed image Q uality A ssessment method (DepictQA), overcoming the
constraints of traditional score-based methods. DepictQA allows for detailed, language …