The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control

Abstract

We present The Matrix, a foundational realistic world simulator capable of generating infinitely long 720p high-fidelity real-scene video streams with real-time, responsive control in both first- and third-person perspectives. Trained on limited supervised data from video games like Forza Horizon 5 and Cyberpunk 2077, complemented by large-scale unsupervised footage from real-world settings like Tokyo streets, The Matrix allows users to traverse diverse terrains—deserts, grasslands, water bodies, and urban landscapes—in continuous, uncut hour-long sequences. With speeds of up to 16 FPS, the system supports real-time interactivity and demonstrates zero-shot generalization, translating virtual game environments to real-world contexts where collecting continuous movement data is often infeasible. For example, The Matrix can simulate a BMW X3 driving through an office setting—an environment present in neither gaming data nor real-world sources. This approach showcases the potential of game data to advance robust world models, bridging the gap between simulations and real-world applications in scenarios with limited data.

Cite

Text

Feng et al. "The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control." Advances in Neural Information Processing Systems, 2025.

Markdown

[Feng et al. "The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control." Advances in Neural Information Processing Systems, 2025.](https://mlanthology.org/neurips/2025/feng2025neurips-matrix/)

BibTeX

@inproceedings{feng2025neurips-matrix,
  title     = {{The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control}},
  author    = {Feng, Ruili and Zhang, Han and Shu, Zhilei and Yang, Zhantao and Tang, Longxiang and Wang, Zhicai and Zheng, Andy and Xiao, Jie and Liu, Zhiheng and Chu, Ruihang and Huang, Yukun and Liu, Yu and Zhang, Hongyang},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2025},
  url       = {https://mlanthology.org/neurips/2025/feng2025neurips-matrix/}
}