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/meaten/motionaug
공식 코드MotionAug: Augmentation with Physical Correction for Human Motion Prediction
https://github.com/mediabrain-sjtu/auxformer
공식 코드Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
https://github.com/mediabrain-sjtu/spgsn
공식 코드Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
https://github.com/mmahdavian/stpotr
공식 코드https://github.com/oliviazwy/dcgcn
공식 코드Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction
https://github.com/patrickrperrine/comp-choreo
공식 코드KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art
https://github.com/qualityminds/cistgcn
공식 코드Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting
https://github.com/rohollahhs/bad
공식 코드BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
https://github.com/saferoboticslab/sharp
공식 코드SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction
https://github.com/sariahmghames/neurosym-prediction
공식 코드A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
https://github.com/senakicir/keyposeprediction
공식 코드https://github.com/sibotian96/TransFusion
공식 코드https://github.com/sirui-xu/stars
공식 코드Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
https://github.com/tileb1/motion-prediction-tim
공식 코드https://github.com/una-dinosauria/human-motion-prediction
공식 코드https://github.com/v0lta/Complex-gated-recurrent-neural-networks
공식 코드https://github.com/vita-epfl/multi-transmotion
공식 코드Multi-Transmotion: Pre-trained Model for Human Motion Prediction
https://github.com/wei-mao-2019/HisRepItself
공식 코드History Repeats Itself: Human Motion Prediction via Motion Attention
https://github.com/wei-mao-2019/LearnTrajDep
공식 코드Learning Trajectory Dependencies for Human Motion Prediction
https://github.com/wei-mao-2019/gsps
공식 코드Generating Smooth Pose Sequences for Diverse Human Motion Prediction
https://github.com/wei-mao-2019/wat
공식 코드Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
https://github.com/xhaughearl/haarmodic
공식 코드Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform
https://github.com/y-zheng18/gimo
공식 코드https://github.com/Djmcflush/Funky-Movement
https://github.com/Jacoo-Zhao/3D-Pose-Based-Feedback-For-Physical-Exercises
Learning Trajectory Dependencies for Human Motion Prediction
https://github.com/JunweiLiang/social-distancing-prediction
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
https://github.com/ThomasDupiereux/ADLproject
https://github.com/ThomasDupiereux/EnGAN
https://github.com/ThomasDupiereux/hpgan
https://github.com/YQRickWang/Motion_Prediction
https://github.com/YQRickWang/tf
https://github.com/amiryanj/socialways
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
https://github.com/bouracha/Gen_Motion
Learning Trajectory Dependencies for Human Motion Prediction
https://github.com/ebarsoum/hpgan
https://github.com/enriccorona/human-motion-prediction-pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.