Runyi Li (李润一)
ID Photo

I am a master student at the School of Electronic and Computer Engineering, Peking University advised by Prof. Jian Zhang. I received the B.E. degree from the College of Computer Science, Sichuan University, in 2023. I have also got Honour Graduate from SCU.

My research interest includes AIGC, image restoration and trustworthy AI.

Email  |  Google Scholar  |  GitHub

Publications 2023-Now

omnissr

OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model

Runyi Li *, Xuhan Sheng *, Weiqi Li, Jian Zhang
(* equal contribution)

ECCV2024 Oral

Paper Project Code

We achieve zero-shot omnidirectional image super-resolution with both fidelity and realness, dubbed as OmniSSR.

gs hider

GS-Hider: Hiding Messages into 3D Gaussian Splatting

Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang, Jian Zhang

arxiv

Project Paper

We propose the first 3DGS steganography framework GS-Hider, which can hide an entire 3D scene or an image into the original 3D scene and accurately decode it from 3D Gaussians.

protect your ip

Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation

Runyi Li, Xuanyu Zhang, Zhipei Xu, Yongbing Zhang, Jian Zhang

arxiv

Paper

We propose the IP protector against personalized generation, which jointly accomplish source-tracing and scalable attribution.

EditGuard

Editguard: Versatile image watermarking for tamper localization and copyright protection

Xuanyu Zhang, Runyi Li, Jiwen Yu, Youmin Xu, Weiqi Li, Jian Zhang

CVPR 2024

Paper

We propose a versatile deep forensic watermark against AIGC editing methods, such as stable diffusion inpaint, controlnet, SDXL and etc.

v2amark

V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection

Xuanyu Zhang, Youmin Xu, Runyi Li, Jiwen Yu, Weiqi Li, Jian Zhang

ACMMM 2024

Paper

We propose a versatile deep forensic watermark against AIGC editing methods for video and audio.

Publications before 2023

A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition

Effectiveness of eHealth self-management interventions in patients with heart failure: systematic review and meta-analysis

Siru Liu, Jili Li, Ding-yuan Wan, Runyi Li, Zhan Qu, Yundi Hu, Jialin Liu

Journal of Medical Internet Research, 2022

Paper

This study aimed was to systematically review the evidence for the effectiveness of eHealth self-management in HF patients.

cbam

Breast cancer X-ray image staging: based on efficient net with multi-scale fusion and cbam attention

Runyi Li, Sen Wang, Zizhou Wang, Lei Zhang

Journal of Physics, 2021

Paper

We applied the EfficientNet model with CBAM attetion to the breast cancer medical image data set, and completed the breast cancer classification task with high accuracy.

cbam

Image caption and medical report generation based on deep learning: a review and algorithm analysis

Runyi Li, Zizhou Wang, Lei Zhang

IEEE Conference CISAI, 2021

Paper

This study is a concise review of image captioning methods and medical report generation.