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Motion Forecasting

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크: 2
평가표: 1
보존된 평가 기록: 296

Motion forecasting is the task of predicting the location of a tracked object in the future

코드

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

https://github.com/jiashunwang/MRT

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Multi-Person 3D Motion Prediction with Multi-Range Transformers

https://github.com/jimmyzou/snipper

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Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet

https://github.com/kingwmk/ganet

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GANet: Goal Area Network for Motion Forecasting

https://github.com/kit-mrt/future-motion

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JointMotion: Joint Self-Supervision for Joint Motion Prediction

https://github.com/kosieram21/trajflow

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TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows

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

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Staged Contact-Aware Global Human Motion Forecasting

https://github.com/leob03/mdmp

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MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty

https://github.com/leolyliu/core4d-instructions

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CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement

https://github.com/magnux/MotionGAN

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Human Motion Prediction via Spatio-Temporal Inpainting

https://github.com/markendo/gaitforemer

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GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

https://github.com/neeharperi/futuredet

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Forecasting from LiDAR via Future Object Detection

https://github.com/nvlabs/trajdata

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trajdata: A Unified Interface to Multiple Human Trajectory Datasets

https://github.com/olly-styles/Multiple-Object-Forecasting

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Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments

https://github.com/opendrivelab/vidar

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Visual Point Cloud Forecasting enables Scalable Autonomous Driving

https://github.com/qualityminds/cistgcn

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

https://github.com/rohollahhs/bad

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BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation

https://github.com/rst-tu-dortmund/diff_epo_planner

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Energy-based Potential Games for Joint Motion Forecasting and Control

https://github.com/schmidt-ju/crat-pred

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CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention

https://github.com/sherwinbahmani/ynet_adaptive

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Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

https://github.com/singhay/DeepPredictiveMotionTracking

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Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging

https://github.com/skygoo2000/adm

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ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties

https://github.com/uber-research/LaneGCN

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Learning Lane Graph Representations for Motion Forecasting

https://github.com/valeoai/MFEval

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Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?

https://github.com/valeoai/cab

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Raising context awareness in motion forecasting

https://github.com/valeoai/mf_awta

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Annealed Winner-Takes-All for Motion Forecasting

https://github.com/valeoai/valeo4cast

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Valeo4Cast: A Modular Approach to End-to-End Forecasting

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

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Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

https://github.com/vita-epfl/causalsim2real

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Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations

https://github.com/vita-epfl/motion-style-transfer

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Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting

https://github.com/vita-epfl/social-nce

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Social NCE: Contrastive Learning of Socially-aware Motion Representations

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/westny/dronalize

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Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets

https://github.com/xccyue/MutualDistance

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Scene-aware Human Motion Forecasting via Mutual Distance Prediction

https://github.com/xiaogangpeng/tbiformer

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Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting

https://github.com/xingp/dgfnet

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Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network

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