This is the first animation from the TreeGAN series. It takes various 3D models produced during the early, middle and late training epochs of the generative adversarial network (GAN) and morphs between them. The trees in this dataset were inspired by the German Romantic painter Caspar David Friedrich, so I textured this animation in reference to Friedrich's Tetschener Altar (1808).
These works use a Generative Adversarial Network in 3D voxel space which has been trained on a dataset of 3D trees, which I made in reference to Chinese literati and German Romantic painting as well as paintings of trees by Mondrian, Schiele and Constable. The resulting animations show the machine learning network trying to make 3D trees. I see this as a continuation of the artistic question of form and how artists throughout history have struggled to represent the world around them.