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Conditional Motion Generation on AIST++ (test)

0.292Beat Alignment ScoreAIST++
0.137040.177270.21750.25773Jan 21, 2021May 13, 2021Sep 3, 2021Dec 25, 2021Apr 17, 2022Aug 8, 2022Nov 29, 2022

Evaluation results

MethodLinks
AIST++type=Ground Truth2021.010.292——9.0577.556—————————
FACT2021.010.24135.3512.45.945.3—————————
Ground Truth2022.030.237417.110.68.197.45—————————
GT2022.110.23717.1—————10.68.197.450000
Bailando2022.030.233228.169.627.836.34—————————
Bailando2022.110.233228.16—————9.627.836.340.270.030.320.13
Li et al.2021.010.23286.4320.586.854.938,060————————
Dancenet2021.010.23269.1817.762.862.727,110————————
OursTransformer=Unified Token Transformer (UTT), Decoder=Diffusion Motion Decoder (DMD), Samples per input=3, Samples per token sequence=302022.110.231117.25—————8.697.785.810.290.030.280.12
FACTSource=AIST++ benchmark [30]2022.030.220935.3522.115.946.18—————————
FACT2022.110.220935.35—————22.115.946.180.260.040.70.11
DanceRevolution2021.010.2273.4231.013.522.467,700————————
AIST++type=Random baseline2021.010.213————2,540————————
DanceRevolutionImplementation=reproduced using officially released code with optimal settings2022.030.19573.4225.923.524.87—————————
Li et al.Source=AIST++ benchmark [30]2022.030.160786.4343.466.853.32—————————
DanceNetSource=AIST++ benchmark [30]2022.030.14369.1825.492.862.85—————————