6 papers
Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model
Sijing Wu, Yunhao Li, Huiyu Duan +4
AI-generated human-centric videos play a crucial role in a wide range of modern applications. However, they often suffer from quality issues and semantic mismatches, underscoring t…
Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition
Yushuo Zheng, Huiyu Duan, Zicheng Zhang +3
The ability of large language models (LLMs) to manage and acquire economic resources remains unclear. In this paper, we introduce \textbf{Market-Bench}, a comprehensive benchmark t…
LifeEval: A Multimodal Benchmark for Assistive AI in Egocentric Daily Life Tasks
Hengjian Gao, Kaiwei Zhang, Shibo Wang +8
The rapid progress of Multimodal Large Language Models (MLLMs) marks a significant step toward artificial general intelligence, offering great potential for augmenting human capabi…
SFQA: A Comprehensive Perceptual Quality Assessment Dataset for Singing Face Generation
Zhilin Gao, Yunhao Li, Sijing Wu +3
The Talking Face Generation task has enormous potential for various applications in digital humans and agents, etc. Singing, as a common facial movement second only to talking, can…
Exploring Instruction Data Quality for Explainable Image Quality Assessment
Yunhao Li, Sijing Wu, Jun Jia +6
In recent years, with the rapid development of large multimodal models (LMMs), explainable image quality assessment (IQA) has attracted increasing attention, aiming to understand t…
DHQA-4D: Perceptual Quality Assessment of Dynamic 4D Digital Human
Yunhao Li, Sijing Wu, Yucheng Zhu +3
With the rapid development of 3D scanning and reconstruction technologies, dynamic digital human avatars based on 4D meshes have become increasingly popular. A high-precision dynam…