arXiv (All)
open access
ULIFLOW: Unified Latent Human-Object Interaction Flow
Text-conditioned 3D human--object interaction (HOI) generation remains challenging because individually plausible human and object motions do not necessarily form a coherent interaction. We argue that a key limitation lies in conventional skeleton-based representations, which compactly describe body
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
- SituHOI: Scalable Capture of Scene-Situated Full-Body Human-Object Interaction#1388546
- World2Motion: Turning Video World Models into 3D Human Motion Generators#1335812
- World2Motion: Turning Video World Models into 3D Human Motion Generators#1132205
- PAMI: Part Anchored Motion for Text to Human-Object Interaction Generation#1143067
- Reconstructing Humans and Objects in Interaction using Large Reconstruction Models#1215456
Record · ID 1388852
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