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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.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/705062791/pgbig

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Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

https://github.com/BarqueroGerman/BeLFusion

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BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

https://github.com/CHELSEA234/SkelNet_motion_prediction

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Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

https://github.com/Droliven/DHMP_jittor

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Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

https://github.com/Droliven/MSRGCN

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MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

https://github.com/EricGuo5513/momask-codes

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MoMask: Generative Masked Modeling of 3D Human Motions

https://github.com/GUO-W/MultiMotion

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Multi-Person Extreme Motion Prediction

https://github.com/JunweiLiang/Multiverse

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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

https://github.com/Khrylx/DLow

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DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

https://github.com/Sirui-Xu/DuMMF

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Stochastic Multi-Person 3D Motion Forecasting

https://github.com/Sirui-Xu/InterDiff

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InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion

https://github.com/ZheC/GTA-IM-Dataset

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Long-term Human Motion Prediction with Scene Context

https://github.com/abduallahmohamed/Social-STGCNN

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Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

https://github.com/abduallahmohamed/social-implicit

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Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation

https://github.com/alexmonti19/dagnet

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DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting

https://github.com/bouracha/OoDMotion

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Generative Model-Enhanced Human Motion Prediction

https://github.com/bradleywang0416/gcnext

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GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction

https://github.com/brinkl/graphhetnet

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Few-shot human motion prediction for heterogeneous sensors

https://github.com/chengxuduan/advhmp

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Physics-constrained Attack against Convolution-based Human Motion Prediction

https://github.com/cr7anand/neural_temporal_models

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A Neural Temporal Model for Human Motion Prediction

https://github.com/cvlab-epfl/mvflow

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Multi-view Tracking Using Weakly Supervised Human Motion Prediction

https://github.com/droliven/diverse_sampling

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Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

https://github.com/dulucas/simlpe

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Back to MLP: A Simple Baseline for Human Motion Prediction

https://github.com/edshieh/motionprediction

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A Mixture of Experts Approach to 3D Human Motion Prediction

https://github.com/eth-ait/motion-transformer

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A Spatio-temporal Transformer for 3D Human Motion Prediction

https://github.com/google/next-prediction

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Peeking into the Future: Predicting Future Person Activities and Locations in Videos

https://github.com/guoweixu368/sld-hmp

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Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction

https://github.com/hongsong-wang/PVRNN

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PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction

https://github.com/hyqlat/ATACB

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Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic

https://github.com/hyqlat/tcl

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Temporal Continual Learning with Prior Compensation for Human Motion Prediction

https://github.com/idiap/potr

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Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers

https://github.com/jaakk0f/dstd-gcn

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Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction

https://github.com/jasonwang959/stpmp

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Spatio-Temporal Branching for Motion Prediction using Motion Increments

https://github.com/jsun57/comusion

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CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion

https://github.com/lily2lab/deepssm

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DeepSSM: Deep State-Space Model for 3D Human Motion Prediction

https://github.com/linghaochan/humanmac

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HumanMAC: Masked Motion Completion for Human Motion Prediction

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