MOGO introduces MoSA-VQ residual quantization and RQHC-Transformer for efficient real-time text-to-3D-motion generation with competitive quality on HumanML3D, KIT-ML and CMP.
Fg-t2m: Fine- grained text-driven human motion generation via diffusion model,
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MOGO: Residual Quantized Hierarchical Causal Transformer for High-Quality and Real-Time 3D Human Motion Generation
MOGO introduces MoSA-VQ residual quantization and RQHC-Transformer for efficient real-time text-to-3D-motion generation with competitive quality on HumanML3D, KIT-ML and CMP.