Welcome to PickArtSo!

This page provides information about Computer Generated Art projects in the Research Group of Alan Blair at UNSW, Sydney.


Latest Work


Abstract Art by Hercule LeNet, based on Famous Landmarks

In this project, abstract art is generated through adversarial training between a genetic program (HERCL) artist and a CNN (LeNet) critic, based on photographs of ten famous landmarks. The artist acts as a function from pixel values x,y to intensity values R,G,B.


Adversarial Image Generation using Evolution and Deep Learning

In this project, abstract art emerges through adversarial training (or coevolution) between a genetic program artist (generator) and a deep learning neural network critic (discriminator) based on images from the popular MNIST and CIFAR-10 datasets. The artist again acts as a function from pixel values x,y to intensity values (black and white or R,G,B).


Coevolving Line Drawings with Hierarchical Evolution

In this project, a genetic program (HERCL) is used for both the artist and the critic. The artist creates an image by issuing a sequence of drawing commands in the form of turtle graphics. The critic makes its decision based on a set of statistical features extracted from the images via OpenCV.


"Imagination is a good servant, and a bad master. The simplest explanation is always the most likely."

- Hercule Poirot