Search Results for author: Mary Lou Maher

Found 3 papers, 0 papers with code

Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System

no code implementations24 Jun 2019 Pegah Karimi, Mary Lou Maher, Nicholas Davis, Kazjon Grace

This paper presents a computational model for conceptual shifts, based on a novelty metric applied to a vector representation generated through deep learning.

Evaluating Creativity in Computational Co-Creative Systems

no code implementations25 Jul 2018 Pegah Karimi, Kazjon Grace, Mary Lou Maher, Nicholas Davis

This paper provides a framework for evaluating creativity in co-creative systems: those that involve computer programs collaborating with human users on creative tasks.

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

no code implementations2 Jan 2018 Pegah Karimi, Nicholas Davis, Kazjon Grace, Mary Lou Maher

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.

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