14 citations · 34 across the 21 of their papers we have counts for
24 papers
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,…
DLADiff: A Dual-Layer Defense Framework against Fine-Tuning and Zero-Shot Customization of Diffusion Models
Jun Jia, Hongyi Miao, Yingjie Zhou +8
With the rapid advancement of diffusion models, a variety of fine-tuning methods have been developed, enabling high-fidelity image generation with high similarity to the target con…
Who is a Better Player: LLM against LLM
Yingjie Zhou, Jiezhang Cao, Farong Wen +10
Adversarial board games, as a paradigmatic domain of strategic reasoning and intelligence, have long served as both a popular competitive activity and a benchmark for evaluating ar…
Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads
Yingjie Zhou, Jiezhang Cao, Zicheng Zhang +6
Speech-driven methods for portraits are figuratively known as "Talkers" because of their capability to synthesize speaking mouth shapes and facial movements. Especially with the ra…
Improve MLLM Benchmark Efficiency through Interview
Farong Wen, Yijin Guo, Junying Wang +6
The rapid development of Multimodal Large Language Models (MLLM) has led to a wide range of MLLM applications, and a number of benchmark datasets have sprung up in order to assess…
Ultrasound-QBench: Can LLMs Aid in Quality Assessment of Ultrasound Imaging?
Hongyi Miao, Jun Jia, Yankun Cao +4
With the dramatic upsurge in the volume of ultrasound examinations, low-quality ultrasound imaging has gradually increased due to variations in operator proficiency and imaging cir…
MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis
Yingjie Zhou, Zicheng Zhang, Jiezhang Cao +6
Artificial Intelligence (AI) has demonstrated significant capabilities in various fields, and in areas such as human-computer interaction (HCI), embodied intelligence, and the desi…
3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents
Yingjie Zhou, Zicheng Zhang, Farong Wen +5
Although 3D generated content (3DGC) offers advantages in reducing production costs and accelerating design timelines, its quality often falls short when compared to 3D professiona…
Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs
Zicheng Zhang, Ziheng Jia, Haoning Wu +8
With the rising interest in research on Large Multi-modal Models (LMMs) for video understanding, many studies have emphasized general video comprehension capabilities, neglecting t…
Quality Assessment in the Era of Large Models: A Survey
Zicheng Zhang, Yingjie Zhou, Chunyi Li +3
Quality assessment, which evaluates the visual quality level of multimedia experiences, has garnered significant attention from researchers and has evolved substantially through de…
A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
Zicheng Zhang, Haoning Wu, Chunyi Li +7
How to accurately and efficiently assess AI-generated images (AIGIs) remains a critical challenge for generative models. Given the high costs and extensive time commitments require…
Dual-Branch Network for Portrait Image Quality Assessment
Wei Sun, Weixia Zhang, Yanwei Jiang +8
Portrait images typically consist of a salient person against diverse backgrounds. With the development of mobile devices and image processing techniques, users can conveniently ca…
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman +33
This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based method…
THQA: A Perceptual Quality Assessment Database for Talking Heads
Yingjie Zhou, Zicheng Zhang, Wei Sun +5
In the realm of media technology, digital humans have gained prominence due to rapid advancements in computer technology. However, the manual modeling and control required for the…
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…
LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM
Zicheng Zhang, Haoning Wu, Yingjie Zhou +7
Although large multi-modality models (LMMs) have seen extensive exploration and application in various quality assessment studies, their integration into Point Cloud Quality Assess…
Simple Baselines for Projection-based Full-reference and No-reference Point Cloud Quality Assessment
Zicheng Zhang, Yingjie Zhou, Wei Sun +2
Point clouds are widely used in 3D content representation and have various applications in multimedia. However, compression and simplification processes inevitably result in the lo…
A No-Reference Quality Assessment Method for Digital Human Head
Yingjie Zhou, Zicheng Zhang, Wei Sun +3
In recent years, digital humans have been widely applied in augmented/virtual reality (A/VR), where viewers are allowed to freely observe and interact with the volumetric content.…
Geometry-Aware Video Quality Assessment for Dynamic Digital Human
Zicheng Zhang, Yingjie Zhou, Wei Sun +2
Dynamic Digital Humans (DDHs) are 3D digital models that are animated using predefined motions and are inevitably bothered by noise/shift during the generation process and compress…
Advancing Zero-Shot Digital Human Quality Assessment through Text-Prompted Evaluation
Zicheng Zhang, Wei Sun, Yingjie Zhou +6
Digital humans have witnessed extensive applications in various domains, necessitating related quality assessment studies. However, there is a lack of comprehensive digital human q…
GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment
Zicheng Zhang, Wei Sun, Houning Wu +5
Nowadays, most 3D model quality assessment (3DQA) methods have been aimed at improving performance. However, little attention has been paid to the computational cost and inference…
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…
DDH-QA: A Dynamic Digital Humans Quality Assessment Database
Zicheng Zhang, Yingjie Zhou, Wei Sun +4
In recent years, large amounts of effort have been put into pushing forward the real-world application of dynamic digital human (DDH). However, most current quality assessment rese…
Perceptual Quality Assessment for Digital Human Heads
Zicheng Zhang, Yingjie Zhou, Wei Sun +3
Digital humans are attracting more and more research interest during the last decade, the generation, representation, rendering, and animation of which have been put into large amo…