In the past, my research primarily focused on image restoration problems, which can be considered as conditional image generation tasks where the conditions are degraded images. Recently, I have expanded my research interests to broader areas, including image generation/editing and video editing, utilizing cutting-edge diffusion-based technologies. Moving forward, I plan to continue my research in the field of AIGC-related image/video generation, editing, and restoration.
I am currently seeking a PhD position starting in fall 2024, focusing on research related to AIGC applications in the domains of images, videos, and 3D. If you have any openings or recommendations, please don't hesitate to contact me via email.
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.
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.