2 citations · 7 across the 13 of their papers we have counts for
15 papers
GenShield: Unified Detection and Artifact Correction for AI-Generated Images
Zhipei Xu, Xuanyu Zhang, Youmin Xu +5
Diffusion-based image synthesis has made AI-generated images (AIGI) increasingly photorealistic, raising urgent concerns about authenticity in applications such as misinformation d…
ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation
Qing Huang, Zhipei Xu, Xuanyu Zhang +2
The rise of AI-generated images (AIGIs) poses growing challenges for digital authenticity, prompting the need for efficient, generalizable image forgery detection systems. Existing…
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…
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…
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…
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…
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…
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…
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…
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…
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…
OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking
Xuanyu Zhang, Zecheng Tang, Zhipei Xu +5
With the rapid growth of generative AI and its widespread application in image editing, new risks have emerged regarding the authenticity and integrity of digital content. Existing…
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
Zhipei Xu, Xuanyu Zhang, Runyi Li +3
The rapid development of generative AI is a double-edged sword, which not only facilitates content creation but also makes image manipulation easier and more difficult to detect. A…
Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation
Runyi Li, Xuanyu Zhang, Zhipei Xu +2
With the advent of personalized generation models, users can more readily create images resembling existing content, heightening the risk of violating portrait rights and intellect…
GS-Hider: Hiding Messages into 3D Gaussian Splatting
Xuanyu Zhang, Jiarui Meng, Runyi Li +3
3D Gaussian Splatting (3DGS) has already become the emerging research focus in the fields of 3D scene reconstruction and novel view synthesis. Given that training a 3DGS requires a…