WhoBuilt

Key facts

Built by
Spellbrush, Internal language for describing GAN architectures
Integrates with
TensorFlow, Compiles into low-level TensorFlow operations

Timeline 1

Dated events, newest first. Open the sources under any item.

How we verify
20201 event
  1. as of Dec 2020Built
    Spellbrush built NetGen
    Internal language for describing GAN architectures
    “We have a custom language internally called NetGen” 8:43
    Unverified1 source· Talk

Talks 1

10:02
Designing Characters with Deep Learning: Spellbrush - YC Gaming Tech Talks 2020

Corey, CEO of Spellbrush, explains how the company uses deep learning to help artists create character art and variations faster. The talk introduces generative adversarial networks (GANs), where a generator learns to create images and a discriminator learns to distinguish generated images from real art. Corey describes how Spellbrush trains its models on anime illustrations, adjusts generation to improve representation, and explores animation tools. He also outlines the company’s in-house training cluster and software pipeline, and previews its plan to build an AI-illustrated game.

Dec 7, 2020· 10 minDiscussed 8:43