motion-forecasting

There are 2 repositories under motion-forecasting topic.

uber-research / LaneGCN
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
artificial-intelligence graph-neural-networks motion-estimation motion-forecasting self-driving
Language:Python 475
ZikangZhou / QCNet
[CVPR 2023] Query-Centric Trajectory Prediction
argoverse autonomous-driving behavior-prediction cvpr2023 motion-forecasting motion-prediction trajectory-prediction waymo-open-dataset
Language:Python 372
argoverse / av2-api
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
autonomous-driving autonomous-vehicles argoverse 3d-object-detection motion-forecasting av av2
Language:Python 288
LinghaoChan / HumanMAC
[ICCV-2023] Official code for work "HumanMAC: Masked Motion Completion for Human Motion Prediction".
diffusion-models motion motion-generation motion-prediction diversity motion-forecasting pose-forecasting pose-prediction
Language:Python 229
Haoran-SONG / PiP-Planning-informed-Prediction
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
deep-learning motion-forecasting trajectory-prediction trajectory-planning autonomous-driving eccv2020
Language:Python 165
vita-epfl / social-nce
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
contrastive-learning representation-learning motion-forecasting imitation-learning reinforcement-learning multi-agent data-augmentation
Language:Python 153
Khrylx / DLow
[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.
eccv2020 motion-prediction motion-forecasting pose-prediction pose-forecasting generative-models diversity diversifying-latent-flows vae pytorch deep-learning
Language:Python 107
SSL-Lanes
AutoVision-cloud / SSL-Lanes
[CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
argoverse autonomous-driving motion-forecasting self-supervised-learning
Language:Jupyter Notebook 105
BarqueroGerman / BeLFusion
[ICCV2023] Official PyTorch Implementation of "BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction". ICCV 2023
ddim ddpm deep-learning diffusion generative-models iccv2023 latent-diffusion ldm motion-forecasting motion-prediction pose-forecasting pose-prediction pytorch belfusion human-motion-prediction human-motion-generation
Language:Python 92
abduallahmohamed / Social-Implicit
Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022
graph-convolutional-networks gcnn-pedestrians graph-neural-networks human-trajectory-prediction pedestrian-trajectories spatio-temporal-graphs social-implicit motion-prediction trajectory-prediction motion-forecasting trajectory-forecasting real-time memory-efficient
Language:Python 78
chrdiller / characteristic3dposes
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃‍♂️
human-motion motion-prediction motion-forecasting human-pose
Language:Python 77
EigenTrajectory
InhwanBae / EigenTrajectory
Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"
deep-learning eigen-vector-decomposition singular-value-decomposition autonomous-vehicles human-trajectory-prediction iccv2023 motion-forecasting multi-agent
Language:Python 71
vita-epfl / causalmotion
[CVPR22] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
motion-forecasting causal-modeling robustness adaptation
Language:Python 71
NPSN
InhwanBae / NPSN
Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"
human-trajectory-prediction motion-forecasting multi-agent sampling-bias sampling-methods deep-learning cvpr2022 autonomous-vehicles
Language:Python 65
AIprogrammer / vehicle-trajectory-prediction
Behavior Prediction in Autonomous Driving
trajectory-prediction vehicle-trajectory motion-prediction motion-forecasting paper autonomous-vehicles
Language:Shell 59
Sirui-Xu / STARS
[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
disentangled-representations eccv2022 motion-forecasting motion-prediction generative-model graph-neural-networks deep-learning human-motion-prediction pytorch
Language:Python 59
eth-ait / spl
Structured Prediction Helps 3D Human Motion Modelling - ICCV '19
motion-prediction motion-forecasting temporal-data sequence-models structured-prediction motion-models
Language:Python 56
GPGraph
InhwanBae / GPGraph
Official Code for "Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction (ECCV 2022)"
autonomous-vehicles deep-learning eccv2022 human-trajectory-prediction motion-forecasting multi-agent
Language:Python 55
garyzhao / FRGAN
The Pytorch implementation for "Learning to Forecast and Refine Residual Motion for Image-to-Video Generation" (ECCV 2018).
motion-forecasting residual-learning video-generation
Language:Python 46
vita-epfl / DePOSit
[ICRA 2023] Official implementation of "A generic diffusion-based approach for 3D human pose prediction in the wild".
3d-human-motion 3d-human-pose denoising-diffusion human-pose-forecasting motion-forecasting noisy-environment
Language:Python 41
ziqipang / StreamingForecasting
[IROS 2023] "Streaming Motion Forecasting for Autonomous Driving"
autonomous-driving motion-forecasting streaming-perception
Language:Python 32
GraphTERN
InhwanBae / GraphTERN
Official Code for "A Set of Control Points Conditioned Pedestrian Trajectory Prediction (AAAI 2023)"
aaai2023 autonomous-vehicles deep-learning human-trajectory-prediction motion-forecasting multi-agent
Language:Python 28
DMRGCN
InhwanBae / DMRGCN
Official Code for "Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction (AAAI 2021)"
aaai2021 autonomous-vehicles deep-learning disentangled-graph-neural-networks human-trajectory-prediction motion-forecasting multi-agent
Language:Python 21
Sigta678 / Social-SSL
[ECCV 2022 Oral] Official Implementation of "Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction"
deep-learning eccv2022 motion-forecasting pytorch self-supervised-learning social-interactions trajectory-prediction transformer
Language:Python 18
jadnohra / mini-datasets
Summarized versions of certain datasets for fast iteration.
autonomous-driving autonomous-vehicles dataset motion-forecasting robotics
Language:Python 15
qiyan98 / social-nce-stgcnn
[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.
contrastive-learning imitation-learning motion-forecasting multi-agent reinforcement-learning representation-learning
Language:Python 14
LMTrajectory
InhwanBae / LMTrajectory
Official Code for "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction (CVPR 2024)"
autonomous-vehicles cvpr2024 deep-learning human-trajectory-prediction language-model motion-forecasting multi-agent question-answering
11
SingularTrajectory
InhwanBae / SingularTrajectory
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
autonomous-vehicles cvpr2024 deep-learning domain-adaptation few-shot-learning human-trajectory-prediction motion-forecasting multi-agent
9
djamelbenr / Improving_Efficiency_and_Generalisability_of_Motion_Predictions_with_Deep_MultiAgent_Learning
We introduce a novel trajectory predictor that considers social interactions among agents, maintaining spatial-temporal information over an extended temporal horizon. It achieves high accuracy, generalisability, and outperforms recent SOTA algorithms on NGSIM and HIGHD Datasets
automated-vehicles motion-forecasting social-interactions trajectory-prediction
Language:Python 3
jbwong05 / CSE151B-kaggle
My work for the kaggle competition for CSE 151B involving motion forecasting for vehicles using the Argoverse Dataset
argoverse deep-learning kaggle motion-forecasting
Language:Jupyter Notebook 2

motion-forecasting

uber-research / LaneGCN

ZikangZhou / QCNet

argoverse / av2-api

LinghaoChan / HumanMAC

Haoran-SONG / PiP-Planning-informed-Prediction

vita-epfl / social-nce

Khrylx / DLow

AutoVision-cloud / SSL-Lanes

BarqueroGerman / BeLFusion

abduallahmohamed / Social-Implicit

chrdiller / characteristic3dposes

InhwanBae / EigenTrajectory

vita-epfl / causalmotion

InhwanBae / NPSN

AIprogrammer / vehicle-trajectory-prediction

Sirui-Xu / STARS

eth-ait / spl

InhwanBae / GPGraph

garyzhao / FRGAN

vita-epfl / DePOSit

ziqipang / StreamingForecasting

InhwanBae / GraphTERN

InhwanBae / DMRGCN

Sigta678 / Social-SSL

jadnohra / mini-datasets

qiyan98 / social-nce-stgcnn

InhwanBae / LMTrajectory

InhwanBae / SingularTrajectory

djamelbenr / Improving_Efficiency_and_Generalisability_of_Motion_Predictions_with_Deep_MultiAgent_Learning

jbwong05 / CSE151B-kaggle