Publication | ACM Designing Interactive Systems (DIS) 2023
3DALL-E
Integrating Text-to-Image AI in 3D Design Workflows
3DALL-E integrates a state-of-the-art text-to-image AI (DALL-E) into the 3D CAD software Fusion 360. This plugin generates 2D image inspiration for conceptual CAD and product design workflows. 3DALL-E helps users craft text prompts by providing 3D keywords, design/styles, and parts from GPT-3. Users can also generate from image prompts based on a render of their current workspace, letting users use their 3D modeling progress as a basis for text-to-image generations.
Abstract
3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows
Vivian Liu, Jo Vermeulen, George Fitzmaurice, Justin Matejka
ACM Designing Interactive Systems (DIS) 2023
Text-to-image AI are capable of generating novel images for inspiration, but their applications for 3D design workflows and how designers can build 3D models using AI-provided inspiration have not yet been explored. To investigate this, we integrated DALL-E, GPT-3, and CLIP within a CAD software in 3DALL-E, a plugin that generates 2D image inspiration for 3D design. 3DALL-E allows users to construct text and image prompts based on what they are modeling. In a study with 13 designers, we found that designers saw great potential in 3DALL-E within their workflows and could use text-to-image AI to produce reference images, prevent design fixation, and inspire design considerations. We elaborate on prompting patterns observed across 3D modeling tasks and provide measures of prompt complexity observed across participants. From our findings, we discuss how 3DALL-E can merge with existing generative design workflows and propose prompt bibliographies as a form of human-AI design history.
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