1 citations · 1 across the 1 of their papers we have counts for
4 papers
A Survey of AI-Generated Video Evaluation
Xiao Liu, Xinhao Xiang, Zizhong Li +6
The growing capabilities of AI in generating video content have brought forward significant challenges in effectively evaluating these videos. Unlike static images or text, video c…
Are Video Generation Models Geographically Fair? An Attraction-Centric Evaluation of Global Visual Knowledge
Xiao Liu, Jiawei Zhang
Recent advances in text-to-video generation have produced visually compelling results, yet it remains unclear whether these models encode geographically equitable visual knowledge.…
AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation
Xiao Liu, Jiawei Zhang
The rapid advancement of AI-generated video models has created a pressing need for robust and interpretable evaluation frameworks. Existing metrics are limited to producing numeric…
AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark
Xinhao Xiang, Xiao Liu, Zizhong Li +2
The rapid advancement in AI-generated video synthesis has led to a growth demand for standardized and effective evaluation metrics. Existing metrics lack a unified framework for sy…