2017. HD Video. Duration: 3:02. Technique: Custom software, Artificial Intelligence, Machine Learning, Deep Learning, Generative Adversarial Networks.
Part of the Learning to See series. For more information, please see:
- Project page for the full series
- This 20min presentation: 2019 – Part 3: “We see things not as they are, but as we are”.
- A paper on this work I presented at SIGGraph 2019
- For a much deeper conceptual and technical analysis, please see Chapter 5 of my PhD Thesis.
Using custom models trained on four different datasets (the four natural elements): ocean & waves (representing ‘water’), clouds & sky (representing ‘air’), fire, flowers (representing earth, and life);






