Introduction to RunwayML
Explore machine learning models with RunwayML in this comprehensive live stream. Learn installation, generative painting, PoseNet, StyleGAN, and more through hands-on demonstrations and Q&A.
StyleGAN Paper Explained
Comprehensive explanation of StyleGAN paper, covering architecture, image quality techniques, style properties, mixing, disentanglement, and training details for advanced AI image generation.
How Generative Models Work - Understanding Neural Networks and Auto Encoders
Explore various generative models, their inner workings, and see a live demo of StyleGAN creating new images in RunwayML. Learn about neural networks and auto-encoders.
One-shot Face Stylization with JoJoGAN - In-depth Tutorial - Part 1
Learn face stylization with JoJoGAN: transfer styles to images using minimal data and GPU assistance. Covers setup, existing models, custom training, and animal face styles.
One-Shot Face Stylization with JoJoGAN - Model Save, Export and Deployment
Learn to save, export, and deploy JoJoGAN face stylization models. Covers checkpoint saving, model exporting, inference setup, and style application in Colab environment.
One-Shot Face Stylization with JoJoGAN - Code Walkthrough with Explanations
Explore StyleGAN and JoJoGAN for face style transfer. Learn theory, code walkthrough, and implementation details for efficient one-shot face stylization using Google Colab.
Train StyleGAN with Your Own Images
Learn to train StyleGAN with your own images using Colab, covering image preparation, training setup, and resuming training for both StyleGAN2 and StyleGAN3 models.
StyleGAN Explained
Comprehensive exploration of StyleGAN architecture, detailing its innovations over traditional GANs. Covers mapping networks, style control, and noise injection for high-quality image generation.
XAI: A Model to Explain StyleGANs
Explore an innovative explanation model for StyleGANs using active shape and appearance models in this computational essay.
Creative AI - Using ML to Create Art, Music, and Jokes - Lecture 113
Explore AI's creative potential in art, music, and humor through open-source ML models. Gain insights into strengths, limitations, and societal impacts, with live demos and code walkthroughs of innovative projects.