collaborators

16 papers

cs.CV2026

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…

cs.CV2026

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)

Wei Luo, Yiting Lu, Xin Li +32

This paper reports on the LoViF 2026 PhyScore challenge, a competition on holistic quality assessment of world-model-generated videos across both 2D and 4D generation settings. The…

cs.MM2026

Ges-QA: A Multidimensional Quality Assessment Dataset for Audio-to-3D Gesture Generation

Zhilin Gao, Yunhao Li, Sijing Wu +3

The Audio-to-3D-Gesture (A2G) task has enormous potential for various applications in virtual reality and computer graphics, etc. However, current evaluation metrics, such as Fréc…

cs.CV2026

ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?

Liu Yang, Huiyu Duan, Ran Tao +6

Omnidirectional images (ODIs) provide full 360x180 view which are widely adopted in VR, AR and embodied intelligence applications. While multi-modal large language models (MLLMs) h…

eess.IV2026

Surveillance Facial Image Quality Assessment: A Multi-dimensional Dataset and Lightweight Model

Yanwei Jiang, Wei Sun, Yingjie Zhou +8

Surveillance facial images are often captured under unconstrained conditions, resulting in severe quality degradation due to factors such as low resolution, motion blur, occlusion,…

cs.CV2026

VideoAesBench: Benchmarking the Video Aesthetics Perception Capabilities of Large Multimodal Models

Yunhao Li, Sijing Wu, Zhilin Gao +5

Large multimodal models (LMMs) have demonstrated outstanding capabilities in various visual perception tasks, which has in turn made the evaluation of LMMs significant. However, th…