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I will be enrolling the Department of Electrical and Electronic Engineering at the University of Hong Kong as a PhD student in 2024 fall, supervised by Prof. Xihui Liu at HKU-MMLab. I will be working on research topics related to Computer Vision and Embodied AI. Prior to this, I obtained my master's degree from Peking University, where I was advised by Prof. Jian Zhang. Email / Google Scholar / Github / CV |
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Jiwen Yu, Xiaodong Cun, Chenyang Qi, Yong Zhang, Xintao Wang, Ying Shan, Jian Zhang ArXiv, 2023 code / arXiv / paper / project page We propose AnimateZero, a zero-shot approach for image animation on generated images. AnimateZero also supports various applications, such as video editing, frame interpolation, real image animation, and more. |
 
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Jiwen Yu, Xuanyu Zhang, Youmin Xu, Jian Zhang NeurIPS, 2023 code / arXiv We propose a novel diffusion-based image steganography framework named Controllable, Robust, and Secure Image Steganography (CRoSS). This framework offers significant advantages in controllability, robustness, and security compared to cover-based image steganography methods. Importantly, these benefits are achieved without requiring additional training. |
 
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Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang ICCV, 2023 code / arXiv FreeDoM is a simple but effective training-free method generating results under control from various conditions using unconditional diffusion models. |
 
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Yinhuai Wang*, Jiwen Yu*, Jian Zhang (*denotes equal contribution) ICLR, 2023 (Oral Presentation) project page / arXiv / code We bring Range-Null space Decomposition (RND) into diffusion models, enabling diverse image restoration tasks in a zero-shot manner, without extra training or optimization. |
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April, 2023 - January, 2024 |
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This cool template is stolen from Jon Barron! |