arXiv (All)
open access
Multi-Modal Controlled Coherent Motion Generation
It is natural for humans to walk and talk simultaneously. This paper tackles the challenge of replicating such natural behaviors in 3D avatar motion generation driven by concurrent multimodal inputs, such as a text description of a man walking alongside speech audio. Existing methods, constrained by
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
- FlowAct-R2: Beyond Talking Avatar via Streaming Multimodal References and Proactive Agent Planning#1130377
- SocialHumanoid: Towards Expressive Humanoid Behavior via One-Step Co-Speech Motion Generation#1118023
- CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies#927297
- EmoPose: Vision-Language Model Guided Emotion-Aware Gesture Generation for Humanoid Robots#1049155
- DriftingVLA: Native One-Step Vision-Language-Action Generation via Per-Dimension Temporal Drifting#798379
Record · ID 998968
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