Evolution, Vision, Adversarial Networks, StyleGAN-T

Sources:

Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020, November). A simple framework for contrastive learning of visual representations. In International conference on machine learning(pp. 1597-1607). PMLR.

- Song I looped while making this. Also, GAN developed album cover.

- Food color in vision

Antic, J., Howard, J., & Manor, U. (2019). Decrappification, DeOldification, and Super Resolution,

- StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

latent space traversal/manipulation
Gaussian Material Synthesis KÁROLY ZSOLNAI-FEHÉR, TU Wien PETER WONKA, KAUST MICHAEL WIMMER, TU Wien