arXiv 2610.27999 · cs.CV · 2026-10-20
Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds
Jihai Zhang, Runjia Qian, Kaiqin Kong, Biao Jiang, Puyi Wang, Siru Chen, Tianle Li, Guanjie Chen and 10 more
Affiliation unverified
In latest · #181 2026-W43 #9 (in progress) Added on 2026-10-22
One-line takeaway
Matrix-Game 4.0 separates game logic (engine plus coding agent) from visuals (autoregressive video renderer), reaching playable 60 FPS on one RTX 5090.
Matrix-Game 4.0 让轻量引擎和编程智能体管游戏逻辑、视频模型管画面,单张 RTX 5090 跑出 60 帧。
Read on arXiv PDF Hugging Face discussion Project page
Topics & disciplines
More on Visual generation
- MaLiang-Harness: A Programmable Path to Image and Video Generation ▲367
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation ▲364
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation ▲197
- Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation ▲174
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original. Takeaway revised on 2026-10-22.