9 papers
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…
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…