English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper delves into the fascinating field of AI-generated art and exploresthe various deep neural network architectures and models that have beenutilized to create it. From the classic convolutional networks to thecutting-edge diffusion models, we examine the key players in the field. Weexplain the general structures and working principles of these neural networks.Then, we showcase examples of milestones, starting with the dreamy landscapesof DeepDream and moving on to the most recent developments, including StableDiffusion and DALL-E 2, which produce mesmerizing images. A detailed comparisonof these models is provided, highlighting their strengths and limitations.Thus, we examine the remarkable progress that deep neural networks have made sofar in a short period of time. With a unique blend of technical explanationsand insights into the current state of AI-generated art, this paper exemplifieshow art and computer science interact.

From paintbrush to pixel: A review of deep neural networks in AI-generated art