YoVDO

One-Shot Face Stylization with JoJoGAN - Code Walkthrough with Explanations

Offered By: Prodramp via YouTube

Tags

Deep Learning Courses StyleGANs Courses

Course Description

Overview

Explore the second part of a three-part tutorial series on one-shot face stylization using JoJoGAN. Dive into the theoretical details of StyleGAN and its application in JoJoGAN. Walk through the Google Colab code, examining the style training process, inference steps, and various internal details. Learn about source image processing, latent generation from style sources, and the role of GAN discriminators and generators. Gain insights into the FFHQ dataset and understand the key steps in the JoJoGAN process. Perfect for those looking to deepen their understanding of face style transfer techniques and StyleGAN implementation.

Syllabus

- Video Start
- GitHub Repo info
- JoJoGAN Details
- GAN and StyleGAN Intro
- Source Image Processing
- Generating Latent from style source
- StyleGAN Model Reference
- GAN Discriminator & Generator Info
- FFHQ Dataset Reference
- JoJoGAN Steps Summary


Taught by

Prodramp

Related Courses

Build Better Generative Adversarial Networks (GANs)
DeepLearning.AI via Coursera
Introduction to RunwayML
Coding Train via YouTube
StyleGAN Paper Explained
Aladdin Persson via YouTube
StyleGAN Explained
Code With Aarohi via YouTube
Train StyleGAN with Your Own Images
Jeff Heaton via YouTube