4 papers
Research on Audio-Visual Quality Assessment Dataset and Method for User-Generated Omnidirectional Video
Fei Zhao, Da Pan, Zelu Qi +1
In response to the rising prominence of the Metaverse, omnidirectional videos (ODVs) have garnered notable interest, gradually shifting from professional-generated content (PGC) to…
Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model
Zelu Qi, Ping Shi, Chaoyang Zhang +4
The development of AI-Generated Video (AIGV) technology has been remarkable in recent years, significantly transforming the paradigm of video content production. However, AIGVs sti…
NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results
Xiaohong Liu, Xiongkuo Min, Qiang Hu +92
This paper reports on the NTIRE 2025 XGC Quality Assessment Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) a…
T2VEval: Benchmark Dataset and Objective Evaluation Method for T2V-generated Videos
Zelu Qi, Ping Shi, Shuqi Wang +7
Recent advances in text-to-video (T2V) technology, as demonstrated by models such as Runway Gen-3, Pika, Sora, and Kling, have significantly broadened the applicability and popular…