arXiv (All)
open access
Naturalness-guided Manifold Flow Matching for Sign Language Production
Sign Language Production (SLP) aims to generate sign motions from text. Conditional Flow Matching methods have achieved strong performance in SLP by constructing conditional paths that transform a source distribution into a target distribution. However, existing methods construct these paths via lin
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
- SignMatch: Matching Dictionary Signs to Continuous Sign Language Video#822306
- FEA-SLT: A Gloss-Free End-to-End Framework for Facial-Expression-Aware Sign Language Translation#793544
- FEA-SLT: A Gloss-Free End-to-End Framework for Facial-Expression-Aware Sign Language Translation#789540
- RoboSTAR: Next-Scale Autoregressive Sign Language Translation for Humanoid Robots#1116581
- Investigating Temporal Motion Features for Pose-to-Text Indian Sign Language Translation#1070502
Record · ID 1118051
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