33 citations · 71 across the 21 of their papers we have counts for
21 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…
DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble
Wei Sun, Weixia Zhang, Hongjian Zhan +3
We present DroneIQA-VLE, our solution to the ICME 2026 Drone-IQA Grand Challenge on Target-aware Image Quality Assessment for Low-altitude UAV Images. The framework jointly predict…
VidAudio-Bench: Benchmarking V2A and VT2A Generation across Four Audio Categories
Qian Zhang, Yuqin Cao, Yixuan Gao +1
Video-to-Audio (V2A) generation is essential for immersive multimedia experiences, yet its evaluation remains underexplored. Existing benchmarks typically assess diverse audio type…
A: Towards Advertising Aesthetic Assessment
Kaiyuan Ji, Yixuan Gao, Lu Sun +7
Advertising images significantly impact commercial conversion rates and brand equity, yet current evaluation methods rely on subjective judgments, lacking scalability, standardized…
XGC-AVis: Towards Audio-Visual Content Understanding with a Multi-Agent Collaborative System
Yuqin Cao, Xiongkuo Min, Yixuan Gao +4
In this paper, we propose XGC-AVis, a multi-agent framework that enhances the audio-video temporal alignment capabilities of multimodal large models (MLLMs) and improves the effici…
Audio-Assisted Face Video Restoration with Temporal and Identity Complementary Learning
Yuqin Cao, Yixuan Gao, Wei Sun +3
Face videos accompanied by audio have become integral to our daily lives, while they often suffer from complex degradations. Most face video restoration methods neglect the intrins…
Exploring Image Quality Assessment from a New Perspective: Pupil Size
Yixuan Gao, Xiongkuo Min, Guangtao Zhai
This paper explores how the image quality assessment (IQA) task affects the cognitive processes of people from the perspective of pupil size and studies the relationship between pu…
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…
Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy
Yinan Sun, Xiongkuo Min, Zicheng Zhang +3
The rapid development of multimodal large language models has resulted in remarkable advancements in visual perception and understanding, consolidating several tasks into a single…
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
Yuqin Cao, Xiongkuo Min, Yixuan Gao +2
Many video-to-audio (VTA) methods have been proposed for dubbing silent AI-generated videos. An efficient quality assessment method for AI-generated audio-visual content (AGAV) is…
Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild
Xiongkuo Min, Yixuan Gao, Yuqin Cao +4
Traditional in the wild image quality assessment (IQA) models are generally trained with the quality labels of mean opinion score (MOS), while missing the rich subjective quality i…
UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content
Yuqin Cao, Xiongkuo Min, Yixuan Gao +3
As multimedia data flourishes on the Internet, quality assessment (QA) of multimedia data becomes paramount for digital media applications. Since multimedia data includes multiple…
Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance
Xunchu Zhou, Xiaohong Liu, Yunlong Dong +6
Recently, User-Generated Content (UGC) videos have gained popularity in our daily lives. However, UGC videos often suffer from poor exposure due to the limitations of photographic…
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge
Xiaohong Liu, Xiongkuo Min, Guangtao Zhai +111
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancemen…
AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
Chunyi Li, Tengchuan Kou, Yixuan Gao +10
With the rapid advancements in AI-Generated Content (AIGC), AI-Generated Images (AIGIs) have been widely applied in entertainment, education, and social media. However, due to the…
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Haoning Wu, Zicheng Zhang, Weixia Zhang +11
The explosion of visual content available online underscores the requirement for an accurate machine assessor to robustly evaluate scores across diverse types of visual contents. W…
Perceptual Quality Assessment for Video Frame Interpolation
Jinliang Han, Xiongkuo Min, Yixuan Gao +5
The quality of frames is significant for both research and application of video frame interpolation (VFI). In recent VFI studies, the methods of full-reference image quality assess…
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
Xiaohong Liu, Xiongkuo Min, Wei Sun +69
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement W…
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement
Yunlong Dong, Xiaohong Liu, Yixuan Gao +3
Recently, Users Generated Content (UGC) videos becomes ubiquitous in our daily lives. However, due to the limitations of photographic equipments and techniques, UGC videos often co…
VDPVE: VQA Dataset for Perceptual Video Enhancement
Yixuan Gao, Yuqin Cao, Tengchuan Kou +5
Recently, many video enhancement methods have been proposed to improve video quality from different aspects such as color, brightness, contrast, and stability. Therefore, how to ev…
Parameterized Image Quality Score Distribution Prediction
Yixuan Gao, Xiongkuo Min, Wenhan Zhu +2
Recently, image quality has been generally describedby a mean opinion score (MOS). However, we observe that thequality scores of an image given by a group of subjects are verysubje…