KETA improves text-to-motion generation by aligning LLM-decomposed action texts with kinematic phrases extracted from motions, both as a training loss and as iterative refinement guidance.
Demos: Dynamic environment motion synthesis in 3d scenes via local spherical-bev perception,
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KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation via Fine-grained Alignment
KETA improves text-to-motion generation by aligning LLM-decomposed action texts with kinematic phrases extracted from motions, both as a training loss and as iterative refinement guidance.