What will we leave to future generations? portraits of machine dreaming about animals that once inhabited Earth? Is this the only way to remember them, just a residual memory?

An exploration of anxieties around the wildlife such as global warming, destroyed habitat, shortage of food, and human predatory practices. Our exclusive artist, diavlex, uses AI as a tool of expression to represent the residual image of species affected by human predatory actions.


The core AI technique for this collection is our Neural Painter implementation from scratch. Neural Painters, introduced in [1], are Generative Models models able to paint using brushstrokes, in contrast to common pixel-level ones. We consider Neural Painters to be a more natural choice for Art+AI artwork and, therefore, our preferred choice.

We also use a tailor-made Non-Adversarial Super-Resolution model based on a dynamic U-Net architecture [2]. The approach is inspired by’s ‘Decrappification’ technique [3].


[1] Neural Painters: A Learned Differentiable Constraint for Generating Brushstroke Paintings. Reiichiro Nakano. Preprint. 2019.

[2] U-Net: Convolutional Networks for Biomedical Image Segmentation. Olaf Ronneberger, Philipp Fischer, Thomas Brox. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer, LNCS, Vol.9351: 234–241, 2015, available at arXiv:1505.04597

[3] Decrappification, DeOldification, and Super Resolution. Jason Antic (Deoldify), Jeremy Howard (, and Uri Manor (Salk Institute). 2019.