arXiv (All)
open access
HelloWorld: Towards Practical Applications of Generative Driving World Models
Driving world models provide a promising route toward scalable counterfactual data generation and interactive simulation beyond recorded driving logs. Realizing this potential requires a system that can generalize across diverse scenes, respond faithfully to prescribed controls, generate coherent mu
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Evaluating Physical Consistency and Plausibility in Generative Scenario Models for Autonomous Driving#1156852
- IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training#819629
- IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training#809633
- OneWorld: Learning Consistent Physics Across Actions in World Models#1105505
- ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images#1063582
Record · ID 1076587
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive