March 12, 2024, 4:42 a.m. | Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.05578v1 Announce Type: cross
Abstract: Text-to-image models such as stable diffusion have opened a plethora of opportunities for generating art. Recent literature has surveyed the use of text-to-image models for enhancing the work of many creative artists. Many e-commerce platforms employ a manual process to generate the banners, which is time-consuming and has limitations of scalability. In this work, we demonstrate the use of text-to-image models for generating personalized web banners with dynamic content for online shoppers based on their …

abstract art artists arxiv commerce creative cs.ai cs.cv cs.hc cs.ir cs.lg diffusion e-commerce e-commerce platforms generate image language language model large language large language model literature novel opportunities personalized platforms process stable diffusion text text-to-image type work

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