activity
20242026
most citedLarge Multi-modality Model Assisted AI-Generated Image Quality Assessment

32 citations · 39 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV2026

LEIQ-Assessor: Multi-dimensional Quality Assessment of Low-light Enhanced Images via Multi-task Learning

Wei Sun, Yanwei Jiang, Dandan Zhu +4

Low-light image enhancement algorithms (LIEAs) aim to improve the visibility of images captured under poor illumination. However, the enhancement process often introduces artifacts…

eess.IV2026★ 1 cited

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,…

eess.IV2025

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…

cs.AI2025

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…

cs.CV2025

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…

cs.CV2025

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results

Xiaohong Liu, Xiongkuo Min, Qiang Hu +92

This paper reports on the NTIRE 2025 XGC Quality Assessment Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) a…

eess.IV2025★ 1 cited

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…

cs.CL2024

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…

eess.IV2024

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…

cs.CV2024★ 5 cited

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…

cs.CV2024

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…

cs.CV2024★ 32 cited

Large Multi-modality Model Assisted AI-Generated Image Quality Assessment

Puyi Wang, Wei Sun, Zicheng Zhang +5

Traditional deep neural network (DNN)-based image quality assessment (IQA) models leverage convolutional neural networks (CNN) or Transformer to learn the quality-aware feature rep…