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Human motion prediction
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction
Orientation-Aware Leg Movement Learning for Action-Driven Human Motion Prediction
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
Spatio-Temporal Branching for Motion Prediction using Motion Increments
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction
Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction
Physics-constrained Attack against Convolution-based Human Motion Prediction
Stochastic Multi-Person 3D Motion Forecasting
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
Towards Accurate Human Motion Prediction via Iterative Refinement
A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback
Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction
SPOTR: Spatio-temporal Pose Transformers for Human Motion Prediction
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
HumanMAC: Masked Motion Completion for Human Motion Prediction
Few-shot human motion prediction for heterogeneous sensors
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
Multi-view Tracking Using Weakly Supervised Human Motion Prediction
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art
STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead
DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
Learning Disentangled Representations for Controllable Human Motion Prediction
Back to MLP: A Simple Baseline for Human Motion Prediction
Conditioned Human Trajectory Prediction using Iterative Attention Blocks
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
GIMO: Gaze-Informed Human Motion Prediction in Context
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