159 citations · 257 across the 19 of their papers we have counts for
19 papers
Enhancing Image Quality Assessment Ability of LMMs via Retrieval-Augmented Generation
Kang Fu, Huiyu Duan, Zicheng Zhang +5
Large Multimodal Models (LMMs) have recently shown remarkable promise in low-level visual perception tasks, particularly in Image Quality Assessment (IQA), demonstrating strong zer…
Robust Mesh Saliency Ground Truth Acquisition in VR via View Cone Sampling and Manifold Diffusion
Guoquan Zheng, Jie Hao, Huiyu Duan +7
As the complexity of 3D digital content grows exponentially, understanding human visual attention is critical for optimizing rendering and processing resources. Therefore, reliable…
VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and Results
Hanwei Zhu, Haoning Wu, Zicheng Zhang +26
This paper presents a summary of the VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models (LMMs), hosted as part of the ICCV 2025 Workshop on Visual Quali…
Can Large Models Fool the Eye? A New Turing Test for Biological Animation
Zijian Chen, Lirong Deng, Zhengyu Chen +5
Evaluating the abilities of large models and manifesting their gaps are challenging. Current benchmarks adopt either ground-truth-based score-form evaluation on static datasets or…
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…
Omni: Unifying Omnidirectional Image Generation and Editing in an Omni Model
Liu Yang, Huiyu Duan, Yucheng Zhu +7
omnidirectional images (ODIs) have gained considerable attention recently, and are widely used in various virtual reality (VR) and augmented reality (AR) applications…
ESVQA: Perceptual Quality Assessment of Egocentric Spatial Videos
Xilei Zhu, Huiyu Duan, Liu Yang +4
With the rapid development of eXtended Reality (XR), egocentric spatial shooting and display technologies have further enhanced immersion and engagement for users, delivering more…
SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression
Linhan Cao, Wei Sun, Xiongkuo Min +8
Just noticeable distortion (JND), representing the threshold of distortion in an image that is minimally perceptible to the human visual system (HVS), is crucial for image compress…
How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Model
Yuxin Zhu, Huiyu Duan, Kaiwei Zhang +5
Understanding and predicting viewer attention in omnidirectional videos (ODVs) is crucial for enhancing user engagement in virtual and augmented reality applications. Although both…
MVBIND: Self-Supervised Music Recommendation For Videos Via Embedding Space Binding
Jiajie Teng, Huiyu Duan, Yucheng Zhu +2
Recent years have witnessed the rapid development of short videos, which usually contain both visual and audio modalities. Background music is important to the short videos, which…
AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
Liu Yang, Huiyu Duan, Long Teng +6
In recent years, the rapid advancement of Artificial Intelligence Generated Content (AIGC) has attracted widespread attention. Among the AIGC, AI generated omnidirectional images h…
Perceptual Video Quality Assessment: A Survey
Xiongkuo Min, Huiyu Duan, Wei Sun +2
Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal ac…
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…
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals
Xilei Zhu, Huiyu Duan, Yuqin Cao +6
Omnidirectional videos (ODVs) play an increasingly important role in the application fields of medical, education, advertising, tourism, etc. Assessing the quality of ODVs is signi…
EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment
Zicheng Zhang, Wei Sun, Yingjie Zhou +4
Currently, great numbers of efforts have been put into improving the effectiveness of 3D model quality assessment (3DQA) methods. However, little attention has been paid to the com…
Evaluating Point Cloud from Moving Camera Videos: A No-Reference Metric
Zicheng Zhang, Wei Sun, Yucheng Zhu +4
Point cloud is one of the most widely used digital representation formats for three-dimensional (3D) contents, the visual quality of which may suffer from noise and geometric shift…
Perceptual Quality Assessment of Omnidirectional Images
Huiyu Duan, Guangtao Zhai, Xiongkuo Min +3
Omnidirectional images and videos can provide immersive experience of real-world scenes in Virtual Reality (VR) environment. We present a perceptual omnidirectional image quality a…
Confusing Image Quality Assessment: Towards Better Augmented Reality Experience
Huiyu Duan, Xiongkuo Min, Yucheng Zhu +3
With the development of multimedia technology, Augmented Reality (AR) has become a promising next-generation mobile platform. The primary value of AR is to promote the fusion of di…
Toward Better Understanding of Saliency Prediction in Augmented 360 Degree Videos
Yucheng Zhu, Xiongkuo Min, DanDan Zhu +5
Augmented reality (AR) overlays digital content onto the reality. In AR system, correct and precise estimations of user's visual fixations and head movements can enhance the qualit…