Forte: User-Driven Generative Design

被引:28
|
作者
Chen, Xiang 'Anthony' [1 ]
Tao, Ye [2 ]
Wang, Guanyun [1 ]
Kang, Runchang [1 ]
Grossman, Tovi [4 ]
Coros, Stelian [3 ]
Hudson, Scott E. [1 ]
机构
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[2] Zhejiang Univ, Hangzhou, Peoples R China
[3] Swiss Fed Inst Technol, Zurich, Switzerland
[4] Autodesk Res, New York, NY USA
基金
美国国家科学基金会;
关键词
Generative design; topology optimization; fabrication; OPTIMIZATION;
D O I
10.1145/3173574.3174070
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Low-cost fabrication machines (e.g., 3D printers) offer the promise of creating custom-designed objects by a range of users. To maximize performance, generative design methods such as topology optimization can automatically optimize properties of a design based on high-level specifications. Though promising, such methods require people to map their design ideas-often unintuitively-to a small number of mathematical input parameters, and the relationship between those parameters and a generated design is often unclear, making it difficult to iterate a design. We present Forte, a sketch-based, real-time interactive tool for people to directly express and iterate on their designs via 2D topology optimization. Users can ask the system to add structures, provide a variation with better performance, or optimize internal material layouts. Users can globally control how much to 'deviate' from the initial sketch, or perform local suggestive editing, which interactively prompts the system to update based on the new information. Design sessions with 10 participants demonstrate that Forte empowers designers to create and explore a range of optimized designs with custom forms and styles.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Catering to Seniors: Guidelines for User-Driven Perceived Aging Adaptation in User Interface Design
    Wang, Zhuo
    HUMAN ASPECTS OF IT FOR THE AGED POPULATION, PT I, ITAP 2024, 2024, 14725 : 100 - 113
  • [22] MyML: User-Driven Machine Learning
    Goyal, Vidushi
    Bertacco, Valeria
    Das, Reetuparna
    2021 58TH ACM/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2021, : 145 - 150
  • [23] User-Driven Refinement of Imprecise Queries
    Qarabaqi, Bahar
    Riedewald, Mirek
    2014 IEEE 30TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2014, : 916 - 927
  • [24] A user-driven interface for exploring visualizations
    Hepting, Daryl H.
    Schmiedge, Paul
    VISUALIZATION AND DATA ANALYSIS 2007, 2007, 6495
  • [25] Building a user-driven academic library
    Citti, A.
    ALMATOURISM-JOURNAL OF TOURISM CULTURE AND TERRITORIAL DEVELOPMENT, 2011, 2 (04): : 45 - 50
  • [26] User-Driven Mobile Authoring System
    Wright, Ben
    Sukittanon, Somsak
    IEEE SOUTHEASTCON 2014, 2014,
  • [27] User-driven development of VSOP technology
    Gustafsson, B
    Widfeldt, M
    CHANGING THE WAYS WE WORK: SHAPING THE ICT-SOLUTIONS FOR THE NEXT CENTURY, 1998, 8 : 632 - 642
  • [28] User-driven RFID applications and challenges
    Mitrokotsa, Aikaterini
    Sheng, Quan Z.
    Maamar, Zakaria
    PERSONAL AND UBIQUITOUS COMPUTING, 2012, 16 (03) : 223 - 224
  • [29] A Continuous Toolchain for User-Driven Customization
    Roth, M.
    Mayr, L.
    Ploetner, M.
    Lindemann, U.
    2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2016, : 597 - 601
  • [30] User-driven Feature Space Transformation
    Mamani, G. M. H.
    Fatore, F. M.
    Nonato, L. G.
    Paulovich, F. V.
    COMPUTER GRAPHICS FORUM, 2013, 32 (03) : 291 - 299