arXiv Open Access 2020

Machine learning based co-creative design framework

Brian Quanz Wei Sun Ajay Deshpande Dhruv Shah Jae-eun Park

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Abstrak

We propose a flexible, co-creative framework bringing together multiple machine learning techniques to assist human users to efficiently produce effective creative designs. We demonstrate its potential with a perfume bottle design case study, including human evaluation and quantitative and qualitative analyses.

Topik & Kata Kunci

cs.HC cs.AI cs.LG

Penulis (5)

Brian Quanz

Wei Sun

Ajay Deshpande

Dhruv Shah

Jae-eun Park

Format Sitasi

APA MLA BibTeX

Quanz, B., Sun, W., Deshpande, A., Shah, D., Park, J. (2020). Machine learning based co-creative design framework. https://arxiv.org/abs/2001.08791

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓