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SotA/Methodology/3D/Human3.6M

3D on Human3.6M

Metric: Average MPJPE (mm) @ 1000 ms (higher is better)

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#Model↕Average MPJPE (mm) @ 1000 ms▼AugmentationsPaperDate↕Code
1Forecast LSTM149.2No--Code
2AnyPose1128.2NoAnyPose: Anytime 3D Human Pose Forecasting via N...2023-09-09-
3STS-GCN117NoSpace-Time-Separable Graph Convolutional Network...2021-10-09Code
4MSR-GCN114.2NoMSR-GCN: Multi-Scale Residual Graph Convolution ...2021-08-16Code
5LTD-GCN113NoLearning Trajectory Dependencies for Human Motio...2019-08-15Code
6UNIMASK-M112.1NoA Unified Masked Autoencoder with Patchified Ske...2023-08-14-
7MotionMixer111NoMotionMixer: MLP-based 3D Human Body Pose Foreca...2022-07-01Code
8PGBIG110.3NoProgressively Generating Better Initial Guesses ...2022-03-30Code
9siMLPe109.4NoBack to MLP: A Simple Baseline for Human Motion ...2022-07-04Code
10Sun et al.109.2NoTowards Accurate Human Motion Prediction via Ite...2023-05-08-
11GraphMixer108.6NoGraph-Guided MLP-Mixer for Skeleton-Based Human ...2023-04-07-
12AuxFormer107NoAuxiliary Tasks Benefit 3D Skeleton-based Human ...2023-08-17Code
13EqMotion106.9NoEqMotion: Equivariant Multi-agent Motion Predict...2023-03-20Code
14ResChunk81.95NoMultiscale Residual Learning of Graph Convolutio...2023-08-31Code
15MGCN72.9NoMulti-Graph Convolution Network for Pose Forecas...2023-04-11-
16GCNext64.7NoGCNext: Towards the Unity of Graph Convolutions ...2023-12-19Code