2 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…