A Collaborative, Interactive and Context-Aware Drawing Agent for Co-Creative Design
Francisco Ibarrola, Tomas Lawton, Kazjon Grace

TL;DR
CICADA is a novel collaborative drawing agent that interacts with users by developing partial sketches into complete designs, emphasizing diversity, flexibility, and human-like quality in co-creative design tasks.
Contribution
This paper introduces CICADA, a new interactive, context-aware drawing system that supports co-creative design, addressing the gap in existing models focused on one-off image generation.
Findings
CICADA produces sketches comparable to human quality.
Enhanced diversity in generated sketches.
Effective handling of user modifications and ongoing collaboration.
Abstract
Recent advances in text-conditioned generative models have provided us with neural networks capable of creating images of astonishing quality, be they realistic, abstract, or even creative. These models have in common that (more or less explicitly) they all aim to produce a high-quality one-off output given certain conditions, and in that they are not well suited for a creative collaboration framework. Drawing on theories from cognitive science that model how professional designers and artists think, we argue how this setting differs from the former and introduce CICADA: a Collaborative, Interactive Context-Aware Drawing Agent. CICADA uses a vector-based synthesis-by-optimisation method to take a partial sketch (such as might be provided by a user) and develop it towards a goal by adding and/or sensibly modifying traces. Given that this topic has been scarcely explored, we also…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputer Graphics and Visualization Techniques · Design Education and Practice · 3D Shape Modeling and Analysis
