Human Motion Prediction on AMASS BMLrub benchmark leaderboard · SOTA2 Research

Human Motion Prediction on AMASS BMLrub

10.2MPJPE (80ms)GCNext

Evaluation Results

Method	Links
GCNext2023.12		10.2	19.3	34.1	40.3	50.6	57.3	62	65.3
LTD-10-102023.04		10.3	19.3	36.6	44.6	61.5	75.9	86.2	91.2
Graph-Guided Mixer2023.04		10.4	19.1	38.9	40.2	50.1	56.6	61.9	65.4
siMLPe2023.04		10.8	19.6	34.3	40.5	50.5	57.3	62.4	65.7
siMLPe2023.12		10.8	19.6	34.3	40.5	50.5	57.3	62.4	65.7
LTD-10-252023.04		11	20.7	37.8	45.3	57.2	65.7	71.3	75.2
LTD2023.12		11	20.7	37.8	45.3	57.2	65.7	71.3	75.2
HisRep2023.04		11.3	20.7	35.7	42	51.7	58.6	63.4	67.2
Motion Attention2023.09		11.3	20.7	35.7	42	51.7	58.6	63.4	67.2
HisRep2023.12		11.3	20.7	35.7	42	51.7	58.6	63.4	67.2
STS-GCN2023.09		13.6	25.3	44.6	52.7	61.2	72.4	78.6	84
AnyPose22023.09		15.1	24.5	49.9	58.1	68.2	78	88.1	97.6
AnyPose12023.09		18.5	26.5	55.7	63.8	69.8	76.6	85.4	91.7
convSeq2Seq2023.04		20.6	36.9	59.7	67.6	79	87	91.5	93.5
Res. Sup.2023.09		20.6	39.6	59.7	67.6	79	87	91.5	93.5
convSeq2Seq2023.09		20.6	39.6	59.7	67.6	79	87	91.5	93.5