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Chapter 2 Diffusion models in product design: optimizing form toward digital prototyping

  • Valerio Perna and Panagiotis Kyratsis
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CAD/CAM
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Abstract

In the last 20 years, the use of diffusion models and text-to-image generators has covered a wide range of fields related to graphic design, interior design, architectural design, and product designproduct design, promoting the development of brand-new methodologies to tackle the different stages of design from ideation to prototypingprototyping through the implementation of intelligent AI-based tools. Such models have shown impressive results in inpainting, text-to-image, super-resolution, colorization, instance segmentation, and so on. The generic pipeline of their use involves a forward and reverse process to learn from existing data contained in a pre-determined dataset and a noise map-based sampling procedure to generate novel information from existing ones. Even though performing well in most domains, there are still some lacking points to be addressed when it comes to their professional application in complex topics such as product design. This chapter investigates the state-of-the-art efficiency of diffusion models in product design, emphasizing the challenges and opportunities associated with their application to 3D-oriented tasks. The study seeks to address the critical obstacles in employing diffusion models for 3D purposes, proposing a methodological pipeline that transition from 2D to 3D.

Abstract

In the last 20 years, the use of diffusion models and text-to-image generators has covered a wide range of fields related to graphic design, interior design, architectural design, and product designproduct design, promoting the development of brand-new methodologies to tackle the different stages of design from ideation to prototypingprototyping through the implementation of intelligent AI-based tools. Such models have shown impressive results in inpainting, text-to-image, super-resolution, colorization, instance segmentation, and so on. The generic pipeline of their use involves a forward and reverse process to learn from existing data contained in a pre-determined dataset and a noise map-based sampling procedure to generate novel information from existing ones. Even though performing well in most domains, there are still some lacking points to be addressed when it comes to their professional application in complex topics such as product design. This chapter investigates the state-of-the-art efficiency of diffusion models in product design, emphasizing the challenges and opportunities associated with their application to 3D-oriented tasks. The study seeks to address the critical obstacles in employing diffusion models for 3D purposes, proposing a methodological pipeline that transition from 2D to 3D.

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Contents VII
  4. List of contributing authors IX
  5. About the editors XIII
  6. Chapter 1 Topology optimization of prosthetic limb from advanced polymeric materials utilizing finite element method 1
  7. Chapter 2 Diffusion models in product design: optimizing form toward digital prototyping 21
  8. Chapter 3 CAD/CAM systems: application features and possible scenarios for the footwear industry 43
  9. Chapter 4 Optimizing project management and design workflows: visual and computational strategies for collaborative design 77
  10. Chapter 5 Generating customized 3D garments based on 3D scanned body geometry and 2D sketches 95
  11. Chapter 6 Machine design: modern design techniques and methodologies for a sustainable design 113
  12. Chapter 7 Pragmatic customization in medical device design for sustainable healthcare 143
  13. Chapter 8 3D printing-based applications 165
  14. Chapter 9 Gamification in teaching of 3D design, scanning, and printing 173
  15. Chapter 10 EU vision to pave the way for impactful R&I in the Western Balkans: a case at POLIS University 205
  16. Index 345
  17. De Gruyter Series in Advanced Mechanical Engineering
https://doi.org/10.1515/9783111585062-002

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Contents VII
  4. List of contributing authors IX
  5. About the editors XIII
  6. Chapter 1 Topology optimization of prosthetic limb from advanced polymeric materials utilizing finite element method 1
  7. Chapter 2 Diffusion models in product design: optimizing form toward digital prototyping 21
  8. Chapter 3 CAD/CAM systems: application features and possible scenarios for the footwear industry 43
  9. Chapter 4 Optimizing project management and design workflows: visual and computational strategies for collaborative design 77
  10. Chapter 5 Generating customized 3D garments based on 3D scanned body geometry and 2D sketches 95
  11. Chapter 6 Machine design: modern design techniques and methodologies for a sustainable design 113
  12. Chapter 7 Pragmatic customization in medical device design for sustainable healthcare 143
  13. Chapter 8 3D printing-based applications 165
  14. Chapter 9 Gamification in teaching of 3D design, scanning, and printing 173
  15. Chapter 10 EU vision to pave the way for impactful R&I in the Western Balkans: a case at POLIS University 205
  16. Index 345
  17. De Gruyter Series in Advanced Mechanical Engineering
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