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Human Pose Forecasting On Amass

Métriques

ADE

APD

FDE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	ADE	APD	FDE	Paper Title	Repository
ThePoseKnows	0.656	9.283	0.675	The Pose Knows: Video Forecasting by Generating Pose Futures	-
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	-
Dlow	0.590	13.170	0.612	DLow: Diversifying Latent Flows 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	-
GCNext	-	-	-	GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction	-
GSPS	0.563	12.465	0.613	Generating Smooth Pose Sequences for Diverse 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