GameGen-O
Generating diffusion transformation models for open-world video games
Product Details
GameGen-O is the first diffusion transformation model tailored for generating open-world video games. The model enables high-quality, open-domain generation by simulating multiple features of game engines, such as innovative characters, dynamic environments, complex actions, and diverse events. Additionally, it provides interactive controllability, allowing gameplay simulation. The development of GameGen-O involved a comprehensive data collection and processing effort from scratch, including building the first open world video game dataset (OGameData), efficiently sorting, scoring, filtering and decoupling titles through a proprietary data pipeline. This powerful and extensive OGameData forms the basis of the model training process.
Main Features
How to Use
Target Users
GameGen-O is suitable for game developers, AI researchers, and professionals interested in generative models. It can help developers quickly generate game content, provide AI researchers with new research tools, and provide professionals with a new way to generate interactive game content.
Examples
Developers use GameGen-O to generate open-world game scenes with dynamic environments and complex actions.
AI researchers use the OGameData dataset to conduct research on video game content generation and interactive control.
Game designers use GameGen-O for rapid prototyping to test new game concepts and gameplay.
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