arXiv (All)
open access
NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation
The advancement of Embodied AI necessitates high-quality simulation assets that faithfully mirror the real world. However, transforming raw visual observations into simulation-ready scenes remains challenging due to the lack of physical grounding and scene-level interactivity in current image-to-URD
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
- RoboPhys-3D: A Comprehensive Embodied World Model Evaluation via 3D Reconstruction#792966
- RoboPhys-3D: A Comprehensive Embodied World Model Evaluation via 3D Reconstruction#788962
- EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI#630069
- EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI#628207
- Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery#925828
Record · ID 1403216
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