Neural Canvas: Supporting Scenic Design Prototyping by Integrating 3D Sketching and Generative AI

要旨

We propose Neural Canvas, a lightweight 3D platform that integrates sketching and a collection of generative AI models to facilitate scenic design prototyping. Compared with traditional 3D tools, sketching in a 3D environment helps designers quickly express spatial ideas, but it does not facilitate the rapid prototyping of scene appearance or atmosphere. Neural Canvas integrates generative AI models into a 3D sketching interface and incorporates four types of projection operations to facilitate 2D-to-3D content creation. Our user study shows that Neural Canvas is an effective creativity support tool, enabling users to rapidly explore visual ideas and iterate 3D scenic designs. It also expedites the creative process for both novices and artists who wish to leverage generative AI technology, resulting in attractive and detailed 3D designs created more efficiently than using traditional modeling tools or individual generative AI platforms.

著者
Yulin Shen
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Yifei Shen
Yale University, New Haven, Connecticut, United States
Jiawen Cheng
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Chutian Jiang
Computational Media and Arts Thrust, Guangzhou, China
Mingming Fan
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Zeyu Wang
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
論文URL

https://doi.org/10.1145/3613904.3642096

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Writing, Sketching and AI

318B
4 件の発表
2024-05-14 01:00:00
2024-05-14 02:20:00