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Found 4 papers, 2 papers with code
Towards Mode Balancing of Generative Models via Diversity Weights
Large data-driven image models are extensively used to support creative and artistic work.
Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
Generative deep learning systems offer powerful tools for artefact generation, given their ability to model distributions of data and generate high-fidelity results.
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities
The framework provides opportunities to hand over creative responsibilities to a generative system as targets for automation.
Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search
We consider multi-solution optimization and generative models for the generation of diverse artifacts and the discovery of novel solutions.
