NTIRE 2024 Quality Assessment of AI-Generated Content Challenge

X Liu, X Min, G Zhai, C Li, T Kou… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity

J Xia, L He, F Gao, K Zhang, L Li, X Gao - arXiv preprint arXiv:2411.16087, 2024 - arxiv.org
Recently, AI-generated images (AIGIs) created by given prompts (initial prompts) have
garnered widespread attention. Nevertheless, due to technical nonproficiency, they often …

Advancing Video Quality Assessment for AIGC

X Yue, J Sun, H Kong, L Yao, T Wang, L Li… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, AI generative models have made remarkable progress across various
domains, including text generation, image generation, and video generation. However …

Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body

Z Wang, Q Ma, W Wan, H Li, K Wang, Y Tian - arXiv preprint arXiv …, 2024 - arxiv.org
Recent improvements in visual synthesis have significantly enhanced the depiction of
generated human photos, which are pivotal due to their wide applicability and demand …

Visual Anomaly Detection on Topological Connectivity Under Improved YOLOv8

Y Li, Z Xie - International Conference on Multimedia Modeling, 2025 - Springer
With the advancement of AI-Generated Content (AIGC), generated unrealistic images
increasingly distort visual perception, posing serious challenges to distinguish between …

A Taxonomy of QoE Distortions in Text-generated Images

L Shihao, C Onuoha, Y Hashimoto, I Paik… - Authorea …, 2025 - techrxiv.org
Text-to-image (T2I), a fast-evolving application of generative AI, is expected to revolutionize
the multimedia industry by allowing the creation of images directly from text descriptions …