Poster
in
Workshop: Workshop on Machine Learning for Creativity and Design

A programmable interface for creative exploration

Gerard Serra · Oriol Domingo · Pol Baladas


Abstract:

Current advances in generative models, specially Large Language Models (LLM),has allowed the emergence of new AI-powered tools to support creativity. Thesemodels generate both text and image given a human prompt containing theirintention using natural language. However, to better respond these prompts, theyoften require expertise to fine-tune models’ responses to match user needs, whichcan be a barrier for non-expert users.In this paper, we present a spatial canvas with a set of AI-powered tools withpredefined prompts to support creative exploration for non-expert users. Ourresults show how non-expert users can explore a creative space by combining theirown input with the generated responses.

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