arXiv (All)
open access
MoGeFlow: Flowing Through Motion Codebook Geometry for Text-to-Motion Generation
Vector-quantized tokenizers have become the dominant interface for text-to-motion generation, and the priors built on them treat motion codes as unordered categorical labels. We show that this discards structure the tokenizer already learned. A motion code embedding is a decoder-bound movement proto
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
- LAMP: Language-Assisted Motion Planning for Controllable Video Generation#984094
- MotionMaestro: Masked Tokenization for Unified Motion Generation#1141817
- VISTA: Video-Injected Stylized Text-to-Animation#1050009
- SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation#972788
- Where the Body Keeps the Beat: Structured Motion Conditioning and Music Dynamics Supervision for Dance-to-Music Generation#1155661
Record · ID 1130574
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