GameNGen
A neural-network-based game engine world model developed by Google Research, capable of simulating complex game environments in real time. It is considered a representative work in the field of video-generative world models.
Timeline (last 90 days)
GameNGen is capable of real-time neural rendering of the game Doom.
GameNGen renders Doom footage at approximately 20 frames per second on a single TPU
Representative works in world models include DeepMind's Genie, Google's GameNGen, and Tesla's internal FSD world model used for autonomous driving.
The Decart team's GameNGen was the first to demonstrate the ability to generate playable DOOM visuals in real time using a diffusion model.
All Facts (4)
GameNGen is capable of real-time neural rendering of the game Doom.
50%UnverifiedGameNGen renders Doom footage at approximately 20 frames per second on a single TPU
50%UnverifiedRepresentative works in world models include DeepMind's Genie, Google's GameNGen, and Tesla's internal FSD world model used for autonomous driving.
50%UnverifiedThe Decart team's GameNGen was the first to demonstrate the ability to generate playable DOOM visuals in real time using a diffusion model.
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