Artemis: Geometry-Grounded Multi-Agent Driving World Models with Shared 3D State and Progressive Memory Update
cs.CV
Submitted: 2026-10-04
Updated: 2026-10-04
Comments: The first three authors contributed equally, and their order was determined by drawing lots. Project Lead: Jiuming Liu. Corresponding Author: Ayush Tewari. Project page: https://liujiuming123.github.io/Artemis/
Project page: https://liujiuming123.github.io/Artemis
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models
- Geometric Context Transformer for Streaming 3D Reconstruction
- Context Forcing: Consistent Autoregressive Video Generation with Long Context
- World Models
- RELIC: Interactive Video World Model with Long-Horizon Memory
- MetaWorld: Scaling Multi-Agent Video World Model from Single-view Video Data
- LIVE: Long-horizon Interactive Video World Modeling
- PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation
- Depth Anything 3: Recovering the Visual Space from Any Views
- Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
- Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends
- UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation
- MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines
- 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
- Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory
- MultiWorld: Scalable Multi-Agent Multi-View Video World Models
- Matrix-Game: Interactive World Foundation Model
- SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer
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