Summary of The Matrix: Infinite-horizon World Generation with Real-time Moving Control, by Ruili Feng et al.
The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control
by Ruili Feng, Han Zhang, Zhantao Yang, Jie Xiao, Zhilei Shu, Zhiheng Liu, Andy Zheng, Yukun Huang, Yu Liu, Hongyang Zhang
First submitted to arxiv on: 4 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary We introduce The Matrix, a groundbreaking simulator capable of generating realistic 720p video streams in first- and third-person perspectives. This system enables immersive exploration of dynamic environments, trained on limited supervised data from AAA games like Forza Horizon 5 and Cyberpunk 2077, supplemented by unsupervised footage from real-world settings. The Matrix supports real-time interactivity at 16 FPS and demonstrates zero-shot generalization, translating virtual game environments to real-world contexts where continuous movement data is scarce. This approach showcases the potential of AAA game data to advance robust world models, bridging the gap between simulations and real-world applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a super-realistic video game that lets you explore different places like deserts, cities, or waterways in incredible detail. We created The Matrix, which can generate these realistic scenes in real-time. It’s trained on data from popular games and also uses footage from real-life settings. This system allows people to interact with the simulated environments in a way that feels very natural. For example, you could make a car drive through an office building – something that would be hard or impossible to collect real-world data for. Our goal is to show how game data can help us create more realistic simulations and bring them closer to real life. |
Keywords
» Artificial intelligence » Generalization » Supervised » Unsupervised » Zero shot
