Papers with Code 아카이브

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/eth-ait/spl

Structured Prediction Helps 3D Human Motion Modelling

https://github.com/facebookresearch/QuaterNet

On human motion prediction using recurrent neural networks

https://github.com/garroud/human-motion-prediction-pytorch

On human motion prediction using recurrent neural networks

https://github.com/gauraviiita/Visualization-of-Human3.6M-Dataset

On human motion prediction using recurrent neural networks

https://github.com/inhwanbae/npsn

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

https://github.com/limaosen0/DMGNN

Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction

https://github.com/maharshi95/Pose2vec

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN

https://github.com/mohsenzand/reschunk

Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction

https://github.com/nageshpindi/human-motion-prediction-master

On human motion prediction using recurrent neural networks

https://github.com/zhanwei-z/g2ltraj

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

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.