activity
20242026
most citedA Survey of AI-Generated Video Evaluation

2 citations · 2 across the 5 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.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…

cs.CV2024★ 2 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…