Abstract

Visual design, from collages to infographics and icon systems, is a creative craft traditionally guided by heuristic principles and manual skill. This talk outlines our research journey from encoding these principles into computational methods toward generative, AI-assisted creativity. I will present our work on intelligent systems for automated layout, abstraction, and stylization, showing how AI can evolve from executing rules to collaborating in the creative process. I will conclude by proposing a new framework for AI-driven design, where generative intelligence reimagines the creative workflow, amplifying human creativity rather than replacing it.

About the Speaker

Min Lu is an Associate Professor at Shenzhen University, China, where she leads the Spatial Creative Intelligence and Interaction (SCII) Research Group. Her research focuses on AI-driven stylized design generation and interaction. She has published papers at top-tier conferences including SIGGRAPH, CVPR, IEEE VIS, and ACM CHI, and holds two grants from the National Natural Science Foundation of China (NSFC). Her work has been recognized with awards such as Best Paper Honorable Mentions at IEEE PacificVis 2024 and CVM 2020. She also serves on the program committees for ACM SIGGRAPH, SIGGRAPH Asia, IEEE VIS, PacificVis, CADCG, and ChinaVis. More information is available at: https://deardeer.github.io/.