SOURCE-LINKED INTELLIGENCE

ReMoMask-2: Latent Retrieval-Augmented Masked Motion Generation

arXiv · AI, language, vision and robotics · article · Sep 8, 2026 · UTC

Text-to-motion (T2M) generation maps natural language to human joint movements, aiding gaming, VR, and robotics. Retrieval-Augmented Text-to-Motion (RAG-T2M) improves generation on complex descriptions by conditioning on retrieved motion-text pairs. However, existing RAG-T2M models face two challenges: coarse-grained retrieval and fusion mechanisms overlook the hierarchical, spatial-temporal topology of human motion, and a representation gap exists because retrieved evidence resides in a semantic space separate from the generator's latents. To address the first, we present ReMoMask, a structur

Read original source ↗ Open in workspace

recordType

paper

region

Global