Researcher | vivo Imaging Department
I am Shanyan Guan (官善琰), a researcher specializing in computer vision and artificial intelligence. Currently, I work at vivo Imaging Department, focusing on AI Photography R&D. I received my Ph.D. from Shanghai Jiao Tong University under the supervision of Prof. Xiaokang Yang and Prof. Yunbo Wang, and my B.S. from Xidian University in 2017.
My research spans both academic and industrial applications. During my Ph.D., I focused on machine understanding of real-world dynamics and motion analysis. Currently, I concentrate on high-resolution image generation, video synthesis, and world models for mobile camera systems.
Selected publications include:
- ICCV 2025: Describe, Don't Dictate: Semantic Image Editing with Natural Language Intent
- ICLR 2025: PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
- NeurIPS 2024: NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
- ECCV 2024: HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation
- Email: guanshanyan@vivo.com
- Address: vivo Shanghai R&D Center, Pudong New Area, Shanghai
- Website: syguan96.github.io