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https://github.com/margaretmz/awesome-ai-art-design
An awesome list: AI for art and design.
https://github.com/margaretmz/awesome-ai-art-design
List: awesome-ai-art-design
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An awesome list: AI for art and design.
- Host: GitHub
- URL: https://github.com/margaretmz/awesome-ai-art-design
- Owner: margaretmz
- License: cc0-1.0
- Created: 2020-09-10T21:25:52.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-02-17T15:13:36.000Z (almost 3 years ago)
- Last Synced: 2024-05-19T17:37:56.932Z (8 months ago)
- Topics: art, artificial-intelligence, awesome, awesome-list, design
- Homepage:
- Size: 130 KB
- Stars: 28
- Watchers: 5
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-artificial-intelligence - Awesome AI for Art & Design - An awesome list of AI for art and design - resources, and popular datasets and how we may apply computer vision tasks to art and design. (Vision)
README
# Awesome AI for Art & Design [](https://awesome.re) [](http://makeapullrequest.com) [](https://twitter.com/margaretmz)
An awesome list of AI for art and design - resources, and popular datasets and how we may apply computer vision tasks to art and design.
## Contents
* [Computer Vision Tasks](#computer-vision-tasks)
* [Community](#community)
* [Datasets](#datasets)
* [Art data](#art-data)
* [Design data](#design-data)
## Computer Vision Tasks
Here are some examples of how computer vision tasks can be applied to real world applications in art and design:
## Community
Here is a list of websites and projects that use AI for art and design:
* [Magenta](https://magenta.tensorflow.org/) - An open source research project exploring the role of machine learning as a tool in the creative process.
* [Artists and Machine Intelligence](https://ami.withgoogle.com/) - A program at Google that brings artists and engineers together to realize projects using Machine Intelligence.
* [Google Arts & Culture](https://artsandculture.google.com/) - A non-profit initiative to preserve and bring the world’s art and culture online, accessible to anyone anywhere. It has cool interative experiments, virtual museums, art collections and more.
* [RunwayML](https://runwayml.com/) - Machine learning for creators where you can [learn](https://learn.runwayml.com/#/) and and share your [projects](https://runwayml.com/madewith/).
* [AI & the Future of UX](https://uxdesign.cc/ai/home) - A collection of blog posts about AI and its impact on the future of UX.
## Data
I'm including data that is ready for ML training as well as sources with free images.
### Art data
* WikiArt: [repo](https://github.com/cs-chan/ArtGAN/blob/master/WikiArt%20Dataset/README.md) | [Kaggle](https://www.kaggle.com/antoinegruson/-wikiart-all-images-120k-link) | [paperswithcode](https://paperswithcode.com/dataset/wikiart)
* [Best Artworks of All Time](https://www.kaggle.com/ikarus777/best-artworks-of-all-time) - A collection of artwork from the best 50 artists.
* [Art Images: Drawing/Painting/Sculptures/Engravings](https://www.kaggle.com/thedownhill/art-images-drawings-painting-sculpture-engraving) - Five types of artwork separated into training and validation datasets.
* [Museum of Modern Art Collection](https://www.kaggle.com/momanyc/museum-collection) - A collection of 72,706 artworks from 20,956 artists.
* [Overwatch Heroes Recognition](https://www.kaggle.com/renanmav/overwatch-heroes-recognition) - 2,291 images of Overwatch heroes with vibrant colors. Great for using as style image in neural network style transfer.
* [Chinese Fine Art](https://www.kaggle.com/rickyjli/chinese-fine-art/) - A small collection of a few hundreds of Chinese style paintings, drawings, watercolors, graphics and iconography.
* [Traditional Chinese Landscape Painting Dataset](https://github.com/alicex2020/Chinese-Landscape-Painting-Dataset) - 2,192 high-quality traditional Chinese landscape paintings (中国山水画) sized at 512x512. [Paper](https://arxiv.org/abs/2011.05552) proposes Sketch-And-Paint GAN (SAPGAN), which generates Chinese landscape paintings without conditional input.
### Museums with Free images
* [The Art Institute of Chicago](https://kottke.org/18/11/the-art-institute-of-chicago-has-put-50000-high-res-images-from-their-collection-online) - 5000 high res images.
* The Metropolitan Museum of Art - Over 400,000 artworks from around the world, near half of which are open access of unrestricted commercial and noncommercial use. Go to their [website](https://www.metmuseum.org/art/collection) and click on "Open Access Artworkds".
* The British Museum - Near 2 million free images ([article](https://www.ianvisits.co.uk/blog/2020/04/28/british-museum-makes-1-9-million-images-available-for-free/) | [museum](https://www.britishmuseum.org/collection/galleries)).
* Amsterdam’s Rijksmuseum - Over 700,000 paintings online copyright free ([article](https://www.ianvisits.co.uk/blog/2021/01/21/over-700000-paintings-from-the-rijksmuseum-online-copyright-free/) | [Museum](https://www.rijksmuseum.nl/en/rijksstudio)).
### Design data
* [Rico](https://interactionmining.org/rico) - A collection of datasets for mobile app UI along with a reasearch [paper](http://ranjithakumar.net/resources/rico.pdf).
* [Common Mobile/Web App Icons](https://www.kaggle.com/testdotai/common-mobile-web-app-icons) - Kaggle datasets of icons scraped from the Noun Project.
* [Icons-50](https://www.kaggle.com/danhendrycks/icons50) - Kaggle dataset of 10,000 icons in 50 classes.
* [The noun project](https://thenounproject.com/) - A website where you can search through 2 million curated icons. It doesn't have a dataset ready for ML training but you can either download individual icons for free or purchase the icons.