Publications (16)
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…
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…
CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
Runyi Li, Bin Chen, Jian Zhang +1
Real-world image super-resolution is a critical image processing task, where two key evaluation criteria are the fidelity to the original image and the visual realness of the gener…
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
Xuanyu Zhang, Runyi Li, Jiwen Yu +3
In the era where AI-generated content (AIGC) models can produce stunning and lifelike images, the lingering shadow of unauthorized reproductions and malicious tampering poses immin…
Mirai: Autoregressive Visual Generation Needs Foresight
Yonghao Yu, Lang Huang, Zerun Wang +2
Autoregressive (AR) visual generators model images as sequences of discrete tokens and are trained with a next-token likelihood objective. This strict causal supervision optimizes…