Tag: Generative Adversarial Network

AI Machine Learning & Data Science Research

Leibniz University Hannover Proposes World-GAN: A 3D GAN for Minecraft Level Generation

A research team from Leibniz University Hannover introduces World-GAN, a 3D generative adversarial network that aims to learn and generate structures directly in the 3D voxel space in Minecraft.

Research

PixelGAN Autoencoders

PixelGAN is an autoencoder for which the generative path is a convolutional autoregressive neural network on pixels, conditioned on a latent code, and the recognition path uses a generative adversarial network (GAN) to impose a prior distribution on the latent code.