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Xuanyu Zhang (张轩宇) I am a 2nd-year Master 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, AIGC Security, Steganography, Low-level Vision, and Spectral Compressive Imaging. |
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Selected Publications |
 
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EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
Xuanyu Zhang, Runyi Li, Jiwen Yu, Youmin Xu, Weiqi Li, Jian Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 project page / video / arXiv We propose a versatile deep forensic watermark for AIGC editing methods, such as stable diffusion inpaint, controlnet, SDXL and etc. |
 
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CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
Jiwen Yu, Xuanyu Zhang, Youmin Xu, Jian Zhang The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2023 code / arXiv We propose a novel diffusion-based image steganography framework named Controllable, Robust, and Secure Image Steganography (CRoSS). |
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Self-Supervised Scalable Deep Compressed Sensing
Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang arXiv, 2023 arXiv 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. |
 
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DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement
Shuzhou Yang*, Xuanyu Zhang*, Yinhuai Wang, Jiwen Yu Yuhan Wang Jian Zhang arxiv, 2023 arXiv 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. |
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Progressive Content-aware Coded Hyperspectral Compressive Imaging
Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang arXiv, 2023 arXiv 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. |
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HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling
Deep Network for Snapshot Compressive Imaging
Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 code / arXiv 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 |
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