Xuanyu Zhang (张轩宇)

I am a Phd student at Peking University, VILLA, supervised by Prof. Jian Zhang. Previously, I received my B.Eng degree from Tianjin University in 2022.

My recent research interests include AIGC Security, Steganography, Low-level Vision, and Spectral Compressive Imaging.

Email  /  Scholar  /  Github

Selected Publications

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.

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

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

We propose a novel diffusion-based image steganography framework named Controllable, Robust, and Secure Image Steganography (CRoSS).

We propose a novel Self-supervised sCalable deep CS method, comprising a Learning scheme called SCL and a family of Networks named SCNet, which does not require GT and can handle arbitrary sampling ratios and matrices once trained on a partial measurement set.

We propose a novel diffusion-based low-light enhancement framework DiffLLE, which bridges the gap between real scenes and training data by diffusion model prior.

We propose a novel Progressive Content-Aware CASSI framework, dubbed PCA-CASSI, which captures HSIs with multiple optimized content-aware coded apertures and fuses all the snapshots for reconstruction progressively.

We propose a novel Hyperspectral Explicable Reconstruction and Optimal Sampling deep Network for SCI, dubbed HerosNet, which includes several phases un der the ISTA-unfolding framework.

Academic Service and Awards