WorldCast: Distributed Multiplayer World Models

arXiv:2610.12412 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/ultralytics/ultralytics

Project page: https://ziyang-ye.github.io/WorldCast-Page

Terminology

• World Model — 19× in this paper · explained in 7 episodes
• Consistency — 16× in this paper · explained in 3 episodes
• Distillation — 10× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Diffusion Model — 7× in this paper · explained in 8 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Distribution Matching — 4× in this paper · explained in 2 episodes
• Joint Attention — 2× in this paper · explained in 2 episodes
• KV cache — 2× in this paper · explained in 3 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Allocator — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes

Sources

• MASS: Multiplayer World Models with Authoritative Shared State
• Matrix-game 2.0: An open-source, real-time, and streaming interactive world model
• Multiplayer Interactive World Models with Representation Autoencoders
• MetaWorld: Scaling Multi-Agent Video World Model from Single-view Video Data
• Memory Forcing: Spatio-Temporal Memory for Consistent Scene Generation on Minecraft
• LIVE: Long-horizon Interactive Video World Modeling
• Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
• Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers
• WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation
• MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines
• GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
• Solaris: Building a Multiplayer Video World Model in Minecraft
• Prisma-World: Camera-Controllable Multi-Agent Video World Model
• Wan: Open and Advanced Large-Scale Video Generative Models
• ATI: Any Trajectory Instruction for Controllable Video Generation
• MultiWorld: Scalable Multi-Agent Multi-View Video World Models
• VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders
• RoboStereo: Dual-Tower 4D Embodied World Models for Unified Policy Optimization
• ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling

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