mlsanityData to 14 Oct 2026

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

arXiv 2501.18588 ↗First posted 30 Jan 2025cs.HC cs.AI cs.CVcited by 13

Not on the map. Why?

Abstract (arXiv)

With recent advancements in the capabilities of Text-to-Image (T2I) AI models, product designers have begun experimenting with them in their work. However, T2I models struggle to interpret abstract language and the current user experience of T2I tools can induce design fixation rather than a more iterative, exploratory process. To address these challenges, we developed Inkspire, a sketch-driven tool that supports designers in prototyping product design concepts with analogical inspirations and a complete sketch-to-design-to-sketch feedback loop. To inform the design of Inkspire, we conducted an exchange session with designers and distilled design goals for improving T2I interactions. In a within-subjects study comparing Inkspire to ControlNet, we found that Inkspire supported designers with more inspiration and exploration of design ideas, and improved aspects of the co-creative process by allowing designers to effectively grasp the current state of the AI to guide it towards novel design intentions.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 22 of its 70 references that are in the map. First posted on arXiv 30 Jan 2025.

Builds on

22 of 70 references.

References · 22

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  4. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,611
  5. 2021Palette: Image-to-Image Diffusion Modelscited by 1,300
  6. 2015Holistically-Nested Edge Detectioncited by 592
  7. 2020U2-Net: Going Deeper with Nested U-Structure for Salient Object Detectioncited by 412
  8. 2024Homogenization Effects of Large Language Models on Human Creative Ideationcited by 127
  9. 2023Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Modelscited by 67
  10. 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
  11. 2023A Prompt Log Analysis of Text-to-Image Generation Systemscited by 24
  12. 2023The Prompt Artistscited by 21
10 more
  1. 2023Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systemscited by 20
  2. 2023Generative Disco: Text-to-Video Generation for Music Visualizationcited by 19
  3. 2021Data-Driven Design-by-Analogy: State of the Art and Future Directionscited by 18
  4. 2023Text-to-Image Generation for Abstract Conceptscited by 18
  5. 2023Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Modelscited by 11
  6. 2024Block and Detail: Scaffolding Sketch-to-Image Generationcited by 9
  7. 2024Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understandingcited by 9
  8. 2021dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketchingcited by 8
  9. 2024C2Ideas: Supporting Creative Interior Color Design Ideation with Large Language Modelcited by 8
  10. 2023BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and Ideationcited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 8; 2026: 5.

13 papers.

Sort:

By area: