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Human Pose Forecasting On Amass

Metrics

ADE
APD
FDE

Results

Performance results of various models on this benchmark

Paper Title
ThePoseKnows0.6569.2830.675The Pose Knows: Video Forecasting by Generating Pose Futures
Dlow0.59013.1700.612DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
GSPS0.56312.4650.613Generating Smooth Pose Sequences for Diverse Human Motion Prediction
BeLFusion0.5139.3760.560BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
TransFusion0.5088.8530.568TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction
STS-GCN---Space-Time-Separable Graph Convolutional Network for Pose Forecasting
AnyPose1---AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations
siMLPe---Back to MLP: A Simple Baseline for Human Motion Prediction
GCNext---GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
TCD---A generic diffusion-based approach for 3D human pose prediction in the wild
Sun et al.---Towards Accurate Human Motion Prediction via Iterative Refinement
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Human Pose Forecasting On Amass | SOTA | HyperAI