# Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing

arXiv: https://arxiv.org/abs/1801.00723 · HTML: https://mlsanity.com/paper/1801.00723/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jan 2018.

## Built on by (most cited first, 1 of 1)

- [Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation](https://mlsanity.com/paper/2606.00807/) (2026)

## Abstract (arXiv)

We present a system for identifying conceptual shifts between visual categories, which will form the basis for a co-creative drawing system to help users draw more creative sketches. The system recognizes human sketches and matches them to structurally similar sketches from categories to which they do not belong. This would allow a co-creative drawing system to produce an ambiguous sketch that blends features from both categories.