7 citations · 10 across the 25 of their papers we have counts for
13 papers · 1 filter
CamWorldQA: Perceptual Quality Assessment of Camera-Controlled World Video Generation
Yunhe Li, Likun Wu, Sijing Wu +5
Recent advances in generative video models have enabled camera-controlled world video generation, allowing models to synthesize videos under user-defined camera trajectories. Howev…
PCQA-R1: Advancing Generalized 3D Point Cloud Quality Assessment with Reinforcement Learning
Kangning Ye, Yunhao Li, Sijing Wu +2
No-reference point cloud quality assessment (PCQA) has been an active topic in recent years and is used to measure and optimize the visual experience of point clouds. However, larg…
FMReward: Aligning and Evaluating Audio-Driven 3D Facial Animation with Human Preferences
Sijing Wu, Yunhao Li, Zhilin Gao +4
Audio-driven 3D facial animation is essential for advancing immersion and interactivity in virtual experiences. Although recent advances have shown promising capabilities, the trai…
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…
Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context
Zhaowei Wang, Lishu Luo, Haodong Duan +9
Long-context modeling is becoming a core capability of modern large vision-language models (LVLMs), enabling sustained context management across long-document understanding, video…
EditRefiner: A Human-Aligned Agentic Framework for Image Editing Refinement
Zitong Xu, Huiyu Duan, Yifei Nie +9
Recent text-guided image editing (TIE) models have made remarkable progress, yet edited images still frequently suffer from fine-grained issues such as unnatural objects, lighting…
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…
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,…
ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images
Xinyue Li, Zhiming Xu, Min Tang +5
Generative text-to-image models are advancing at an unprecedented pace, continuously shifting the perceptual quality ceiling and rendering previously collected labels unreliable fo…
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…
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…
Q-Bench-Portrait: Benchmarking Multimodal Large Language Models on Portrait Image Quality Perception
Sijing Wu, Yunhao Li, Zicheng Zhang +5
Recent advances in multimodal large language models (MLLMs) have demonstrated impressive performance on existing low-level vision benchmarks, which primarily focus on generic image…
VTONQA: A Multi-Dimensional Quality Assessment Dataset for Virtual Try-on
Xinyi Wei, Sijing Wu, Zitong Xu +4
With the rapid development of e-commerce and digital fashion, image-based virtual try-on (VTON) has attracted increasing attention. However, existing VTON models often suffer from…