Papers with Code 아카이브

motion prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

0

보존된 평가 기록

0

코드

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

공식 코드

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

공식 코드

BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

https://github.com/CHELSEA234/SkelNet_motion_prediction

공식 코드

Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

https://github.com/Droliven/DHMP_jittor

공식 코드

Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

https://github.com/Droliven/MSRGCN

공식 코드

MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

https://github.com/GUO-W/MultiMotion

공식 코드

Multi-Person Extreme Motion Prediction

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

공식 코드

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

https://github.com/HanLingsgjk/CSCV

공식 코드

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

공식 코드

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/PhyllisH/NMMP

공식 코드

Collaborative Motion Prediction via Neural Motion Message Passing

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

공식 코드

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

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

공식 코드

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

https://github.com/Usman1021/DLE

공식 코드

Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing

https://github.com/Woodenonez/DyObAv_MPCnEBM_Warehouse

공식 코드

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

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

공식 코드

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

https://github.com/YueWuHKUST/FutureVideoSynthesis

공식 코드

Future Video Synthesis with Object Motion Prediction

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

공식 코드

Long-term Human Motion Prediction with Scene Context

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

공식 코드

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

https://github.com/abduallahmohamed/FollowMe

공식 코드

FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings

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

공식 코드

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

https://github.com/abduallahmohamed/social-implicit

공식 코드

Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation

https://github.com/air-discover/llm-augmented-mtr

공식 코드

Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving

https://github.com/alibaba/Deep-Vision/tree/main/Context-Motion-Decoupling

공식 코드

Self-supervised Video Representation Learning by Context and Motion Decoupling

https://github.com/ami-iit/paper_guo_2023_humanoids_lifting_risk_prediction

공식 코드

Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables

https://github.com/aras62/vision-based-prediction

공식 코드

Deep Learning for Vision-based Prediction: A Survey

https://github.com/bouracha/OoDMotion

공식 코드

Generative Model-Enhanced Human Motion Prediction

https://github.com/bradleywang0416/gcnext

공식 코드

GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction

https://github.com/brinkl/graphhetnet

공식 코드

Few-shot human motion prediction for heterogeneous sensors

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