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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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  4. Human Pose Forecasting On Amass

Human Pose Forecasting On Amass

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평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
ADE
APD
FDE
Paper TitleRepository
ThePoseKnows0.6569.2830.675The 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
Dlow0.59013.1700.612DLow: Diversifying Latent Flows 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
GCNext---GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
GSPS0.56312.4650.613Generating 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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뉴스튜토리얼데이터셋백과사전

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