2 citations · 5 across the 22 of their papers we have counts for
22 papers
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…
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,…
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…
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…
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…
Exploring Instruction Data Quality for Explainable Image Quality Assessment
Yunhao Li, Sijing Wu, Jun Jia +5
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…
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 Fréch…
RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment
Jianing Jin, Jiangyong Ying, Huiyu Duan +6
As camera-equipped robotic platforms become increasingly integrated into daily life, robotic-generated videos have begun to appear on streaming media platforms, enabling us to envi…
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment
Shuhao Han, Haotian Fan, Fangyuan Kong +112
This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoratio…
AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images
Yunhao Li, Sijing Wu, Wei Sun +6
The rapid development of text-to-image (T2I) generation approaches has attracted extensive interest in evaluating the quality of generated images, leading to the development of var…
FVQ: A Large-Scale Dataset and an LMM-based Method for Face Video Quality Assessment
Sijing Wu, Yunhao Li, Ziwen Xu +4
Face video quality assessment (FVQA) deserves to be explored in addition to general video quality assessment (VQA), as face videos are the primary content on social media platforms…
Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric
Zhichao Zhang, Wei Sun, Xinyue Li +9
AI-driven video generation techniques have made significant progress in recent years. However, AI-generated videos (AGVs) involving human activities often exhibit substantial visua…
MMHead: Towards Fine-grained Multi-modal 3D Facial Animation
Sijing Wu, Yunhao Li, Yichao Yan +3
3D facial animation has attracted considerable attention due to its extensive applications in the multimedia field. Audio-driven 3D facial animation has been widely explored with p…
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models
Yiwei Yang, Zheyuan Liu, Jun Jia +5
Traditional image steganography focuses on concealing one image within another, aiming to avoid steganalysis by unauthorized entities. Coverless image steganography (CIS) enhances…
SingingHead: A Large-scale 4D Dataset for Singing Head Animation
Sijing Wu, Yunhao Li, Weitian Zhang +5
Singing, as a common facial movement second only to talking, can be regarded as a universal language across ethnicities and cultures, plays an important role in emotional communica…