Week 9 - Art Generation with Neural Style Transfer

This week you will..

• Discuss about neural network and art generation

• Discuss about cost functions

Learning Resources

GitHub - lucidrains/deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnounGitHub

A super cool command tool to let network "imagine" stuff

GitHub - lucidrains/DALLE-pytorch: Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in PytorchGitHub

An attempt of creating an open source version of DALL-E

GitHub - Mnpr/Art-Generation-GANs: Series of progressive exploration and experimentation of Deep Generative Models on subset of WikiArt dataset to produce Realistic art Images.GitHub

Project from a participant of the last semester

Check out Phil Wang's Repositories for more cool projects:

lucidrains - OverviewGitHub

Until next week you should

• Work on your project - no fixed homework this week!