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

This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge focused on
User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based …

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

In recent years the rapid development of Artificial Intelligence (AI) has facilitated the
widespread use of AI-Generated Images (AIGIs) a subset of Artificial Intelligence Generated …

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 …

With the development of generative models such as the diffusion model and auto-regressive
model AI-generated content (AIGC) is experiencing an explosive growth. Moreover existing …

We introduce the AIM 2024 UHD-IQA Challenge, a competition to advance the No-
Reference Image Quality Assessment (NR-IQA) task for modern, high-resolution photos. The …

Video quality assessment (VQA) is a crucial task in the development of video compression
standards, as it directly impacts the viewer experience. This paper presents the results of the …

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

Recent text-to-image (T2I) models have benefited from large-scale and high-quality data,
demonstrating impressive performance. However, these T2I models still struggle to produce …