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motion prediction

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

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

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Joint-Relation Transformer for Multi-Person Motion Prediction

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

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Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

https://github.com/mhnasseri/sort_oh

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Simple online and real-time tracking with occlusion handling

https://github.com/michigan-traffic-lab/DECODE

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DECODE: Domain-aware Continual Domain Expansion for Motion Prediction

https://github.com/mmahdavian/stpotr

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STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead

https://github.com/mohsenzand/motionflow

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Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics

https://github.com/nachiket92/PGP

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Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals

https://github.com/nail-hnu/esvo2

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ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras

https://github.com/necolizer/facial-prior-based-fomm

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Facial Prior Based First Order Motion Model for Micro-expression Generation

https://github.com/oliviazwy/dcgcn

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Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction

https://github.com/opendilab/smartrefine

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SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction

https://github.com/opendrivelab/end-to-end-autonomous-driving

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End-to-end Autonomous Driving: Challenges and Frontiers

https://github.com/openmotionlab/motiongpt

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MotionGPT: Human Motion as a Foreign Language

https://github.com/p0werHu/articulated-objects-motion-prediction

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Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network

https://github.com/patrickrperrine/comp-choreo

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KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art

https://github.com/pedro-dm-gomes/agar

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AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects

https://github.com/pengxuanyang/uncad

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UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty

https://github.com/phil-bergmann/tracking_wo_bnw

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Tracking without bells and whistles

https://github.com/purduedigitaltwin/seneva

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Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture

https://github.com/pxiangwu/MotionNet

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MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps

https://github.com/qualityminds/cistgcn

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

https://github.com/robinwangsd/diffusion-with-multi-modal-priors

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Controllable Motion Generation via Diffusion Modal Coupling

https://github.com/rocketappslab/bdmm

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Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer

https://github.com/roggirg/AutoBots

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Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

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

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LoRD: Adapting Differentiable Driving Policies to Distribution Shifts

https://github.com/saferoboticslab/sharp

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SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction

https://github.com/sair-lab/physord

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PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving

https://github.com/sancarlim/densetnt-intent

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Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs

https://github.com/sancarlim/explainable-mp

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Towards Explainable Motion Prediction using Heterogeneous Graph Representations

https://github.com/sariahmghames/neurosym-prediction

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A Neuro-Symbolic Approach for Enhanced Human Motion Prediction

https://github.com/schmidt-ju/argoverse-navmap

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Exploring Navigation Maps for Learning-Based Motion Prediction

https://github.com/senakicir/keyposeprediction

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Long Term Motion Prediction Using Keyposes

https://github.com/shifts-project/shifts

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Shifts 2.0: Extending The Dataset of Real Distributional Shifts

https://github.com/shuiliwanwu/ConvLstm-ultrasound-videos

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Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network

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

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