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Activity Prediction

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

https://github.com/3dlg-hcvc/OPD

공식 코드

OPD: Single-view 3D Openable Part Detection

https://github.com/705062791/pgbig

공식 코드

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

https://github.com/AdaCompNUS/GAMMA

공식 코드

GAMMA: A General Agent Motion Model for Autonomous Driving

https://github.com/AliaksandrSiarohin/monkey-net

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Animating Arbitrary Objects via Deep Motion Transfer

https://github.com/Amir-Samadi/VVF-TP

공식 코드

A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field

https://github.com/BII-wushuang/Lie-Group-Motion-Prediction

공식 코드

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

https://github.com/BarqueroGerman/BeLFusion

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BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

https://github.com/CHELSEA234/SkelNet_motion_prediction

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Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

https://github.com/Chain123/Meta-HAR

공식 코드

Meta-HAR: Federated Representation Learning for Human Activity Recognition

https://github.com/Cogito2012/CarCrashDataset

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Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

https://github.com/Cogito2012/UString

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Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

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/GUO-W/MultiMotion

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Multi-Person Extreme Motion Prediction

https://github.com/Garfield-kh/TM2D

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TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration

https://github.com/GuansongPang/deviation-network

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Deep Anomaly Detection with Deviation Networks

https://github.com/HanLingsgjk/CSCV

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ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video

https://github.com/JunweiLiang/Multiverse

공식 코드

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

https://github.com/Khrylx/DLow

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DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

https://github.com/LanglandsLin/MS2L

공식 코드

MS$^2$L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition

https://github.com/MarcusOlivecrona/REINVENT

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Molecular De Novo Design through Deep Reinforcement Learning

https://github.com/PhyllisH/NMMP

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Collaborative Motion Prediction via Neural Motion Message Passing

https://github.com/RomeroBarata/hierarchical_action_prediction

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Learning to Abstract and Predict Human Actions

https://github.com/SS47816/AGI-Elo

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AGI-Elo: How Far Are We From Mastering A Task?

https://github.com/Tsinghua-MARS-Lab/DenseTNT

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DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution

https://github.com/Usman1021/DLE

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Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing

https://github.com/Varyn/WSDM-challenge-2019-spotify

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Modelling Sequential Music Track Skips using a Multi-RNN Approach

https://github.com/Woodenonez/DyObAv_MPCnEBM_Warehouse

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Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction

https://github.com/XiaoxG/waveMotion-lightning

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Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model

https://github.com/YueWuHKUST/FutureVideoSynthesis

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Future Video Synthesis with Object Motion Prediction

https://github.com/ZheC/GTA-IM-Dataset

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Long-term Human Motion Prediction with Scene Context

https://github.com/a-pru/emp

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Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed

https://github.com/a-rebmann/llms4pm

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Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks

https://github.com/abduallahmohamed/FollowMe

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FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings

https://github.com/abduallahmohamed/Social-STGCNN

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

https://github.com/abduallahmohamed/skeleton-graph

공식 코드

Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs

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