arXiv (All)
open access
CARI4D: Category Agnostic 4D Reconstruction of Human-Object Interaction
Accurate capture of human-object interaction from ubiquitous sensors like RGB cameras is important for applications in human understanding, gaming, and robot learning. However, inferring 4D interactions from a single RGB view is highly challenging due to the unknown object and human information, dep
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
- Open-CHOIR: Open-World Contact-Aware 4D Hand-Object Interaction Reconstruction#1233856
- HORIA: 4D Human and Object Reconstruction from a Monocular Video with Interaction-Aware Re-Rendering#1401148
- HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration#973237
- HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration#319705
- RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation#1141593
Record · ID 1402167
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