人間の創造的プロセスを促進する設計支援技術
【研究キーワード】
コンピュータグラフィックス / 設計支援アルゴリズム
【研究成果の概要】
In the past one year, I have finished 6 projects, and have 3 papers accepted, while the remaining 3 projects are still under submission. The central theme of these projects are to bridge this gap by designing data-driven algorithms and user interfaces using human preferences of visual content and knowledge. These projects are relevant to sketch beautification, real-time virtual try-on, support system for neural network architecture editing, image-based shape part manipulation, icon usability design, and automatic 2D polygonal construction sequence prediction.
In more detail, I co-developed a virtual try-on system based on a per-garment capture and synthesis workflow to handle rich interactions by training the model with many systematically captured images. Using a custom actuated mannequin, our system captures detailed deformations of the target garments under diverse body sizes and poses. I also propose a unique human-in-the-loop framework that allows users to improve the usabilities of interface icons efficiently. We formulate several usability criteria into a perceptual usability function and enable users to iteratively revise an icon set with an interactive design tool, EvIcon. Finally, I proposed a hybrid method that generates a polygonal mesh construction sequence from a silhouette image. The key idea of our method is the use of the Monte Carlo tree search (MCTS) algorithm and differentiable rendering to separately predict sequential topological actions and geometric actions.
【研究代表者】
【研究種目】特別研究員奨励費
【研究期間】2021-04-28 - 2023-03-31
【配分額】2,300千円 (直接経費: 2,300千円)