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 …

Quality assessment, which evaluates the visual quality level of multimedia experiences, has
garnered significant attention from researchers and has evolved substantially through …

In the rapidly evolving landscape of deep learning generative models such as Generative
Adversarial Networks (GANs) and diffusion models have significantly advanced the …

With the rapid development of generative models, AI-Generated Content (AIGC) has
exponentially increased in daily lives. Among them, Text-to-Video (T2V) generation has …

Traditional deep neural network (DNN)-based image quality assessment (IQA) models
leverage convolutional neural networks (CNN) or Transformer to learn the quality-aware …

Recently there has been a surge of interest in AI-Generated Image Quality Assessment
(AGIQA). Unlike images in common image quality assessment tasks AI-generated images …

Abstract The development of Large Language Models (LLM) and Diffusion Models brings
the boom of Artificial Intelligence Generated Content (AIGC). It is essential to build an …

Video compression is indispensable to most video analysis systems. Despite saving the
transportation bandwidth, it also deteriorates downstream video understanding tasks …

With the evolution of Text-to-Image (T2I) models, the quality defects of AI-Generated Images
(AIGIs) pose a significant barrier to their widespread adoption. In terms of both perception …

The advent of AI has influenced many aspects of human life, from self-driving cars and
intelligent chatbots to text-based image and video generation models capable of creating …