Generating Print-Ready Personalized AI Art Products from Minimal User Inputs

Noah Pursell, Anindya Maiti
3/28/2024
cs.CVeess.IV

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Abstract

We present a novel framework to advance generative artificial intelligence (AI) applications in the realm of printed art products, specifically addressing large-format products that require high-resolution artworks. The framework consists of a pipeline that addresses two major challenges in the domain: the high complexity of generating effective prompts, and the low native resolution of images produced by diffusion models. By integrating AI-enhanced prompt generations with AI-powered upscaling techniques, our framework can efficiently produce high-quality, diverse artistic images suitable for many new commercial use cases. Our work represents a significant step towards democratizing high-quality AI art, opening new avenues for consumers, artists, designers, and businesses.

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@article{pursell2024generating,
  title  = {Generating Print-Ready Personalized AI Art Products from Minimal User Inputs},
  author = {Noah Pursell and Anindya Maiti},
  year   = {2024},
  eprint = {2405.18247},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2405.18247v1}
}

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