Check out this cool neural network that can generate photorealistic Minecraft worlds.
Zekun Hao, Arun Mallya, Serge Belongie, and Ming-Yu Liu have presented NVIDIA GANcraft, an unsupervised neural rendering framework for generating photorealistic images of large 3D block worlds such as those created in Minecraft.
The method takes a semantic block world as input, where each block is assigned a label such as dirt, grass, tree, sand, or water. The world is represented as a continuous volumetric function and the model is trained to render view-consistent photorealistic images from arbitrary viewpoints.
"GANcraft aims at solving the world-to-world translation problem. Given a semantically labeled block world such as those from the popular game Minecraft, GANcraft is able to convert it to a new world which shares the same layout but with added photorealism," comments the team. "GANcraft simplifies the process of 3D modeling of complex landscape scenes, which will otherwise require years of expertise. GANcraft essentially turns every Minecraft player into a 3D artist!"
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