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Human Pose Forecasting

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하위 태스크: 0
평가표: 7
보존된 평가 기록: 69

Human pose forecasting is the task of detecting and predicting future human poses.

<span style="color:grey; opacity: 0.6">( Image credit: EgoPose )</span>

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/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/Khrylx/DLow

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DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

https://github.com/Khrylx/EgoPose

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Ego-Pose Estimation and Forecasting as Real-Time PD Control

https://github.com/Nat-D/GMVAE

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Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

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

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

https://github.com/aleflabo/MoCoDAD

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Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection

https://github.com/alessiosam/chico-poseforecasting

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Pose Forecasting in Industrial Human-Robot Collaboration

https://github.com/asheshjain399/RNNexp

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Structural-RNN: Deep Learning on Spatio-Temporal Graphs

https://github.com/bradleywang0416/gcnext

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

https://github.com/chaneyddtt/Convolutional-Sequence-to-Sequence-Model-for-Human-Dynamics

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Convolutional Sequence to Sequence Model for Human Dynamics

https://github.com/dingpx/eai

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Expressive Forecasting of 3D Whole-body Human Motions

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/eddyhkchiu/pose_forecast_wacv

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Action-Agnostic Human Pose Forecasting

https://github.com/edodema/BestPractices2Body

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Best Practices for 2-Body Pose Forecasting

https://github.com/evendrow/somoformer

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SoMoFormer: Multi-Person Pose Forecasting with Transformers

https://github.com/fraluca/stsgcn

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Space-Time-Separable Graph Convolutional Network for Pose Forecasting

https://github.com/jaewoo97/t2p

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Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning

https://github.com/l-scofano/stag

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Staged Contact-Aware Global Human Motion Forecasting

https://github.com/mediabrain-sjtu/auxformer

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Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction

https://github.com/mediabrain-sjtu/eqmotion

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EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

https://github.com/motionmlp/motionmixer

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MotionMixer: MLP-based 3D Human Body Pose Forecasting

https://github.com/qualityminds/cistgcn

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Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting

https://github.com/sibotian96/TransFusion

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TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction

https://github.com/sirui-xu/stars

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Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors

https://github.com/ubisoftinc/Ubisoft-LaForge-Animation-Dataset

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Robust Motion In-betweening

https://github.com/una-dinosauria/human-motion-prediction

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On human motion prediction using recurrent neural networks

https://github.com/vita-epfl/MotionMap

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MotionMap: Representing Multimodality in Human Pose Forecasting

https://github.com/vita-epfl/deposit

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A generic diffusion-based approach for 3D human pose prediction in the wild

https://github.com/vita-epfl/unposed

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Toward Reliable Human Pose Forecasting with Uncertainty

https://github.com/wei-mao-2019/LearnTrajDep

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Learning Trajectory Dependencies for Human Motion Prediction

https://github.com/wei-mao-2019/contawaremotionpred

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Contact-aware Human Motion Forecasting

https://github.com/wei-mao-2019/gsps

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Generating Smooth Pose Sequences for Diverse Human Motion Prediction

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