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Human motion prediction

Action prediction is a pre-fact video understanding task, which focuses on future states, in other words, it needs to reason about future states or infer action labels before the end of action execution.

Papers

Showing 125 of 162 papers

TitleStatusHype
MoMask: Generative Masked Modeling of 3D Human MotionsCode3
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion GenerationCode2
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed DiffusionCode2
HumanMAC: Masked Motion Completion for Human Motion PredictionCode2
Multi-Transmotion: Pre-trained Model for Human Motion PredictionCode1
Learning Semantic Latent Directions for Accurate and Controllable Human Motion PredictionCode1
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion ForecastingCode1
GCNext: Towards the Unity of Graph Convolutions for Human Motion PredictionCode1
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion PredictionCode1
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion PredictionCode1
Stochastic Multi-Person 3D Motion ForecastingCode1
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion DiffusionCode1
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal AnchorsCode1
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion PredictionCode1
Multi-view Tracking Using Weakly Supervised Human Motion PredictionCode1
STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following AheadCode1
Skeleton-Parted Graph Scattering Networks for 3D Human Motion PredictionCode1
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary SpaceCode1
Back to MLP: A Simple Baseline for Human Motion PredictionCode1
Weakly-supervised Action Transition Learning for Stochastic Human Motion PredictionCode1
GIMO: Gaze-Informed Human Motion Prediction in ContextCode1
Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion PredictionCode1
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion PredictionCode1
MotionAug: Augmentation with Physical Correction for Human Motion PredictionCode1
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood EstimationCode1
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