CDAMD is a new autoregressive text-to-motion framework operating on continuous motion coordinates with dual constraints and diffusion-inspired components, establishing new benchmarks and claiming SOTA fidelity plus semantic consistency.
Adding conditional control to text-to-image diffusion models,
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Coordinate-Based Dual-Constrained Autoregressive Motion Generation
CDAMD is a new autoregressive text-to-motion framework operating on continuous motion coordinates with dual constraints and diffusion-inspired components, establishing new benchmarks and claiming SOTA fidelity plus semantic consistency.