Stochastic Human Motion Prediction on Human3.6M (subjects S9, S11) benchmark leaderboard · SOTA2 Research

Stochastic Human Motion Prediction on Human3.6M (subjects S9, S11)

0.403APDMT-VAE

Evaluation Results

Method	Links
MT-VAE2025.05		0.403	0.457	0.595	0.716	0.883
CacheFlow (w/o Cache)2025.05		5.385	0.374	0.489	0.49	0.531
BeLFusion-D2025.05		5.777	0.367	0.472	0.469	0.506
CacheFlow2025.05		6.101	0.369	0.473	0.481	0.511
BoM2025.05		6.265	0.448	0.533	0.514	0.544
HumanMAC2025.05		6.301	0.369	0.48	0.509	0.545
DeLiGAN2025.05		6.509	0.483	0.534	0.52	0.545
TPK2025.05		6.723	0.461	0.56	0.522	0.569
GMVAE2025.05		6.769	0.461	0.555	0.524	0.566
Motron2025.05		7.168	0.375	0.488	0.509	0.539
HP-GAN2025.05		7.214	0.858	0.867	0.847	0.858
BeLFusion2025.05		7.602	0.372	0.474	0.473	0.507
CoMusion2025.05		7.632	0.35	0.458	0.494	0.506
SkeletonDiff.2025.05		7.632	0.344	0.45	0.487	0.512
SLD2025.05		8.741	0.348	0.436	0.435	0.463
DSF2025.05		9.33	0.493	0.592	0.55	0.599
DLow2025.05		11.741	0.425	0.518	0.495	0.531
MultiObj2025.05		14.24	0.414	0.516	—	—
GSPS2025.05		14.757	0.389	0.496	0.476	0.525
DivSamp2025.05		15.31	0.37	0.485	0.475	0.516