Procedural Generation: Creating 3D worlds with Deep Learning (MIT 6.S198) (web.archive.org)

submitted 1 year ago by maggoats@lemmy.world to c/proceduralgeneration@lemmy.world

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Here's an interesting application of deep learning to the creation of terrain heightmaps!

They train a generative adversarial network to generate/classify "true" terrain, documenting their process and issues they encountered.

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this post was submitted on 22 Jun 2023

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Procedural Generation

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A community to discuss and share anything procedural generation related, for example game worlds and assets, or simulations whether scientific or ludic.

From Wikipedia:

Procedural generation is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated assets and algorithms coupled with computer-generated randomness and processing power.

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