OpenCodePapers

human-pose-forecasting-on-human36m

Pose EstimationHuman Pose Forecasting
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PaperCodeAverage MPJPE (mm) @ 400msAverage MPJPE (mm) @ 1000 msMAR, walking, 400msMAR, walking, 1,000msAPDADEFDEMMADEMMFDECMDFIDAverage NDMS at 4sModelNameReleaseDate
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction✓ Link30.564.7GCNext2023-12-19
Multi-Graph Convolution Network for Pose Forecasting34.472.9MGCN2023-04-11
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction34.8FMS-AM2023-05-19
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction✓ Link54.1107AuxFormer2023-08-17
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning✓ Link55.0106.9EqMotion2023-03-20
Towards Accurate Human Motion Prediction via Iterative Refinement55.5109.2Sun et al.2023-05-08
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction✓ Link56.4181.95ResChunk2023-08-31
Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction56.7108.6GraphMixer2023-04-07
Back to MLP: A Simple Baseline for Human Motion Prediction✓ Link57.3109.4siMLPe2022-07-04
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction✓ Link58.5110.30.540.69PGBIG2022-03-30
MotionMixer: MLP-based 3D Human Body Pose Forecasting✓ Link59.3111.00.580.73MotionMixer2022-07-01
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis61.6112.1UNIMASK-M2023-08-14
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction✓ Link62.9114.2MSR-GCN2021-08-16
Learning Trajectory Dependencies for Human Motion Prediction✓ Link63.5113.00.560.67LTD-GCN2019-08-15
Space-Time-Separable Graph Convolutional Network for Pose Forecasting✓ Link65.8117.00.550.87STS-GCN2021-10-09
AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations80.6128.2AnyPose12023-09-09
Intention-based Long-Term Human Motion Anticipation✓ Link80.8149.20.9130700.465Forecast LSTM2021-12-01
Imitation Learning for Human Pose Prediction0.590.69BC+WGAIL-div2019-09-08
Action-Agnostic Human Pose Forecasting✓ Link0.650.77TP-RNN2018-10-23
Structural-RNN: Deep Learning on Spatio-Temporal Graphs✓ Link1.302.13SRNN2015-11-17
Recurrent Network Models for Human Dynamics1.782.38ERD2015-08-02
A generic diffusion-based approach for 3D human pose prediction in the wild✓ Link19466356396463445TCD2022-10-11
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors✓ Link15884358445442471STARS2023-02-09
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space✓ Link1531037048547551611.6922.083DiverseSampling2022-07-15
Generating Smooth Pose Sequences for Diverse Human Motion Prediction✓ Link1475738949647652510.7582.103GSPS2021-08-19
Diverse Trajectory Forecasting with Determinantal Point Processes9330493592550599DSF2019-07-11
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction✓ Link76023724744735075.9880.209BeLFusion2022-11-25
HP-GAN: Probabilistic 3D human motion prediction via GAN✓ Link7214858867847858HP-GAN2017-11-27
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders✓ Link6769461555524566GMVAE2016-11-08
The Pose Knows: Video Forecasting by Generating Pose Futures✓ Link67234615605225696.3260.538Pose-Knows2017-04-28
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective✓ Link6265448533514544BoM2018-06-20
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction✓ Link5975358468506539TransFusion2023-07-30
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics✓ Link403457595716883MT-VAE2018-08-14
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