Table 5.

Comparison with modern motion generation methods.

Method	Joint position error (mm) ↓	Motion fidelity (FID) ↓	Knowledge consistency (%) ↑	Style authenticity (1–5) ↑	Training data required	Inference speed (FPS) ↑
MDM 37	58.3 ± 4.7	12.8 ± 1.5	73.8 ± 4.1	3.2 ± 0.6	Large (100 K + samples)	8.3 ± 0.5
T2M-GPT 38	62.7 ± 5.1	15.4 ± 1.8	71.2 ± 4.5	2.9 ± 0.7	Large (100 K + samples)	12.7 ± 0.8
Fg-T2M 39	54.9 ± 4.3	11.2 ± 1.3	76.5 ± 3.8	3.5 ± 0.6	Large (80 K + samples)	6.8 ± 0.4
KG-CMGAN (ours)	43.8 ± 3.2	9.6 ± 1.1	91.2 ± 2.5	4.6 ± 0.4	Medium (20 K samples)	21.7 ± 1.1

Bold values indicate the best performance for each metric/column among all compared methods.