Valdemar Danry, Cenk Guzelis, Lingdong Huang, Neil Gershenfeld, Pattie Maes
{"title":"From Words to Worlds: Exploring Generative 3D Models in Design and Fabrication.","authors":"Valdemar Danry, Cenk Guzelis, Lingdong Huang, Neil Gershenfeld, Pattie Maes","doi":"10.1089/3dp.2023.0309","DOIUrl":null,"url":null,"abstract":"<p><p>The integration of artificial intelligence (AI) into the design and fabrication process has opened up novel pathways for producing custom objects and altered the traditional creative workflow. In this article, we present Depthfusion, a novel text-to-3D model generation system that empowers users to rapidly create detailed 3D models from textual or 2D image inputs, and explore the application of text-to-3D models within different fabrication techniques. Depthfusion leverages current text-to-image AI technologies such as Midjourney, Stable Diffusion, and DALL-E and integrates them with advanced mesh inflation and depth mapping techniques. This approach yields a high degree of artistic control and facilitates the production of high-resolution models that are compatible with various 3D printing methods. Our results include a biomimetic tableware set that merges intricate design with functionality, a large-scale ceramic vase illustrating the potential for additive manufacturing in ceramics, and even a sneaker-shaped bread product achieved by converting AI design into a baked form. These projects showcase the diverse possibilities for AI in the design and crafting of objects across mediums, pushing the boundaries of what is traditionally considered feasible in bespoke manufacturing.</p>","PeriodicalId":54341,"journal":{"name":"3D Printing and Additive Manufacturing","volume":"12 1","pages":"1-10"},"PeriodicalIF":2.3000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11937759/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"3D Printing and Additive Manufacturing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1089/3dp.2023.0309","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
The integration of artificial intelligence (AI) into the design and fabrication process has opened up novel pathways for producing custom objects and altered the traditional creative workflow. In this article, we present Depthfusion, a novel text-to-3D model generation system that empowers users to rapidly create detailed 3D models from textual or 2D image inputs, and explore the application of text-to-3D models within different fabrication techniques. Depthfusion leverages current text-to-image AI technologies such as Midjourney, Stable Diffusion, and DALL-E and integrates them with advanced mesh inflation and depth mapping techniques. This approach yields a high degree of artistic control and facilitates the production of high-resolution models that are compatible with various 3D printing methods. Our results include a biomimetic tableware set that merges intricate design with functionality, a large-scale ceramic vase illustrating the potential for additive manufacturing in ceramics, and even a sneaker-shaped bread product achieved by converting AI design into a baked form. These projects showcase the diverse possibilities for AI in the design and crafting of objects across mediums, pushing the boundaries of what is traditionally considered feasible in bespoke manufacturing.
期刊介绍:
3D Printing and Additive Manufacturing is a peer-reviewed journal that provides a forum for world-class research in additive manufacturing and related technologies. The Journal explores emerging challenges and opportunities ranging from new developments of processes and materials, to new simulation and design tools, and informative applications and case studies. Novel applications in new areas, such as medicine, education, bio-printing, food printing, art and architecture, are also encouraged.
The Journal addresses the important questions surrounding this powerful and growing field, including issues in policy and law, intellectual property, data standards, safety and liability, environmental impact, social, economic, and humanitarian implications, and emerging business models at the industrial and consumer scales.