activity
20242026
most citedFakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

2 citations · 7 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

cs.CV2025

UARE: A Unified Vision-Language Model for Image Quality Assessment, Restoration, and Enhancement

Weiqi Li, Xuanyu Zhang, Bin Chen +7

Image quality assessment (IQA) and image restoration are fundamental problems in low-level vision. Although IQA and restoration are closely connected conceptually, most existing wo…

cs.CV2025

Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment

Shijie Zhao, Xuanyu Zhang, Weiqi Li +4

Reasoning-based image quality assessment (IQA) models trained through reinforcement learning (RL) exhibit exceptional generalization, yet the underlying mechanisms and critical fac…

cs.CV2025

UniShield: An Adaptive Multi-Agent Framework for Unified Forgery Image Detection and Localization

Qing Huang, Zhipei Xu, Xuanyu Zhang +2

With the rapid advancements in image generation, synthetic images have become increasingly realistic, posing significant societal risks, such as misinformation and fraud. Forgery I…

cs.CV2025

TalkFashion: Intelligent Virtual Try-On Assistant Based on Multimodal Large Language Model

Yujie Hu, Xuanyu Zhang, Weiqi Li +1

Virtual try-on has made significant progress in recent years. This paper addresses how to achieve multifunctional virtual try-on guided solely by text instructions, including full…

cs.CV2025

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning

Xuanyu Zhang, Weiqi Li, Shijie Zhao +3

Recent advances in AI-generated content (AIGC) have led to the emergence of powerful text-to-video generation models. Despite these successes, evaluating the quality of AIGC-genera…

cs.CV2025

AvatarShield: Visual Reinforcement Learning for Human-Centric Synthetic Video Detection

Zhipei Xu, Xuanyu Zhang, Qing Huang +2

Recent advances in Artificial Intelligence Generated Content have led to highly realistic synthetic videos, particularly in human-centric scenarios involving speech, gestures, and…

cs.CV2025★ 1 cited

SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography

Xuanyu Zhang, Jiarui Meng, Zhipei Xu +4

3D Gaussian Splatting (3DGS) has emerged as a premier method for 3D representation due to its real-time rendering and high-quality outputs, underscoring the critical need to protec…

cs.CV2025

Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Weiqi Li, Xuanyu Zhang, Shijie Zhao +4

Image quality assessment (IQA) focuses on the perceptual visual quality of images, playing a crucial role in downstream tasks such as image reconstruction, compression, and generat…

cs.CV2025

GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model

Runyi Li, Xuanyu Zhang, Chuhan Tong +2

With the advancement of AIGC technologies, the modalities generated by models have expanded from images and videos to 3D objects, leading to an increasing number of works focused o…