most citedA Survey of AI-Generated Video Evaluation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CY2026

Building an Atlas of Social Experiments to Link Studies, Reconcile Conflicts, and Bridge Gaps

Jiawei Zhang, Honglin Bao, Pengda Wang +3

Social and behavioral science runs thousands of experiments each year, yet their findings rarely accumulate into a coherent map of what is known, what conflicts, and what remains m…

cs.CV20261 cited

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…

cs.CV2026

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.…

cs.CV2025

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…

cs.CV2025

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…