The realms of machine learning and artificial intelligence offer intriguing possibilities, especially as they intersect with art. This particular segment features artworks generated through Generative Adversarial Networks, commonly known as GANs. A GAN is a sophisticated machine learning framework where two neural networks are pitted against each other, each striving to refine its predictions for enhanced accuracy. The artworks showcased here were specifically produced using Nvidia’s StyleGAN2, a renowned type of GAN optimized for crafting intricate and high-quality images. For the series titled “Postmachineism,” the generated images were trained on an expansive dataset comprising several thousand visuals from minimalism, color fields, and sculptures. This dataset features works from eminent artists such as Donald Judd, Sol Lewitt, Dan Flavin, Dan Graham, Carl Andre, Ellsworth Kelly, Eva Hesse, Frank Stella, Mark Rothko, Barnett Newman, among others.
LATENT SPACE WALK #2
These are fun videos that show the learning process and gradual changes that went into the image creation process for…
LATENT SPACE WALK #1
These are fun videos that show the learning process and gradual changes that went into the image creation process for…
POSTMACHINEISM VOL. 2
The images generated in the Postmachineism series were trained on a dataset of several thousand images of minimalism, color fields…
POSTMACHINEISM VOL. 1
The images generated in the Postmachineism series were trained on a dataset of several thousand images of minimalism, color fields…
