tuanle618/deepArt-generation
Repository for generating arts using modern algorithms such as deep convolutional generative nets or conv. variational autoencoders where data/images to be learned is scraped from wikiart.org
This tool helps artists, designers, or art enthusiasts create new, abstract art pieces by learning from existing artwork. You provide a collection of historical art images (like Japanese Ukiyo-e prints), and the tool generates original, 'fake' artworks that capture the style and essence of your input. This is for anyone interested in algorithmic art generation or exploring creative new visuals.
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Use this if you want to generate abstract artistic images based on a training set of existing artworks.
Not ideal if you need to generate photorealistic images or exact replicas of existing art styles without abstraction.
Stars
12
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 24, 2023
Commits (30d)
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