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SOTA
Menschliche-Pose-Vorhersage
Human Pose Forecasting On Amass
Human Pose Forecasting On Amass
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ADE
APD
FDE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
ADE
APD
FDE
Paper Title
Repository
ThePoseKnows
0.656
9.283
0.675
The Pose Knows: Video Forecasting by Generating Pose Futures
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STS-GCN
-
-
-
Space-Time-Separable Graph Convolutional Network for Pose Forecasting
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AnyPose1
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-
-
AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations
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siMLPe
-
-
-
Back to MLP: A Simple Baseline for Human Motion Prediction
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Dlow
0.590
13.170
0.612
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
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BeLFusion
0.513
9.376
0.560
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
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TransFusion
0.508
8.853
0.568
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction
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GCNext
-
-
-
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
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GSPS
0.563
12.465
0.613
Generating Smooth Pose Sequences for Diverse Human Motion Prediction
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TCD
-
-
-
A generic diffusion-based approach for 3D human pose prediction in the wild
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Sun et al.
-
-
-
Towards Accurate Human Motion Prediction via Iterative Refinement
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