Human Pose Forecasting On Amass

Metrics

ADE

APD

FDE

Results

Performance results of various models on this benchmark

				Paper Title	Code
ThePoseKnows	0.656	9.283	0.675	The Pose Knows: Video Forecasting by Generating Pose Futures
Dlow	0.590	13.170	0.612	DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
GSPS	0.563	12.465	0.613	Generating Smooth Pose Sequences for Diverse Human Motion Prediction
BeLFusion	0.513	9.376	0.560	BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
TransFusion	0.508	8.853	0.568	TransFusion: 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

0 of 11 row(s) selected.

Human Pose Forecasting On Amass

Metrics

ADE

APD

FDE

Results

Performance results of various models on this benchmark

				Paper Title	Code
ThePoseKnows	0.656	9.283	0.675	The Pose Knows: Video Forecasting by Generating Pose Futures
Dlow	0.590	13.170	0.612	DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
GSPS	0.563	12.465	0.613	Generating Smooth Pose Sequences for Diverse Human Motion Prediction
BeLFusion	0.513	9.376	0.560	BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
TransFusion	0.508	8.853	0.568	TransFusion: 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

0 of 11 row(s) selected.

Human Pose Forecasting On Amass | SOTA | HyperAI超神经