Two Minute Papers examines the paper “HoloGAN: Unsupervised learning of 3D representations from natural images.”
Jabrils uses an autoencoder to generate a new Pokemon.
Siraj Raval explores generative modeling technology.
This innovation is changing the face of the Internet as you read this. It’s now possible to design automated systems that can write novels, act as talking heads in videos, and compose music.
In this episode, Siraj explains how generative modeling works by demoing 3 examples that you can try yourself in your web browser.
- Demo 1 (Generating Music): https://colab.research.google.com/notebooks/magenta/piano_transformer/piano_transformer.ipynb
- Demo 2 (Generating Faces):
- Demo 3 (Generating 3D Objects):
- Autoencoders explained:
- Generative Adversarial Networks explained:
- Sequence Models explained:
- Generative Modeling explained:
Two Minute Papers examines the paper “FSGAN: Subject Agnostic Face Swapping and Reenactment.”
Arxiv Insights shows you how to morph faces with a GAN complete with source code.
In this video, Two Minute Papers explores the paper “Efficient Video Generation on Complex Datasets.”
Two Minute Papers has a video highlighting the work in the paper “On the ‘steerability’ of generative adversarial networks” and the amazing things this technology can do.
Siraj Raval generates his own voice with AI using some cutting edge techniques.
This is a relatively new technology and people have started generating not just celebrity voices, but entire musical pieces as well. The technology to generate sounds, both voices & music, has been rapidly improving the past few years thanks to deep learning. In this episode, I’ll first demo some AI generated music. Then, i’ll explain the physics of a waveform and how DeepMind used waveform-based data to generate some pretty realistic sounds in 2016. At the end, I’ll describe the cutting edge of generative sound modeling, a paper released just 2 months ago called “MelNet”. Enjoy!
Two Minute Papers covers this breakthrough discovery presented in the paper “Stylizing Video by Example”