arXiv (All)
open access
MotionHiFlow: Text-to-motion via hierarchical flow matching
Text-to-motion generation aims to generate 3D human motions that are tightly aligned with the input text while remaining physically plausible and rich in fine-grained detail. Although recent approaches can produce complex and natural movements, they usually operate at only one temporal scale, which
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
- MotionSpaceFlow: Representation-Aware Flow Matching in Direct Motion Space#1119263
- MoVT: Video-Augmented Motion Tokenizer for Text-to-Motion Generation#1084869
- HUMAN-TCI: Hierarchical Multi-Stream Motion-Aware Network with Torso-Centered Interaction for Text-to-Motion Retrieval#1128700
- Streaming Multi-Track Timeline Control for 3D Human Motion Generation#1199147
- MotionSpec: Spectral Trajectory Supervision for Motion-Consistent Video Generation#1064639
Record · ID 1232722
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