limaosen0 / DMGNN
The implementation of DMGNN
☆143Updated 4 years ago
Alternatives and similar repositories for DMGNN:
Users that are interested in DMGNN are comparing it to the libraries listed below
- code for learning trajectory dependencies for human motion prediction☆262Updated last year
- ☆110Updated last year
- Official implementation of MSR-GCN (ICCV2021 paper)☆69Updated last year
- The source codes of 'Skeleton-parted graph scattering networks for 3D human motion prediction'. ECCV 2022☆29Updated 2 years ago
- Repository for PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition☆109Updated last year
- Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020☆151Updated 4 years ago
- Simple baselines and RNNs for predicting human motion. Presented at CVPR 17. This pytorch implementation is based on the original one by …☆66Updated 4 years ago
- ☆36Updated last year
- The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021☆70Updated 3 years ago
- CVPR 2022☆47Updated 2 years ago
- Repository for "Space-Time-Separable Graph Convolutional Network for Pose Forecasting" (ICCV 2021)☆100Updated 2 years ago
- Source code of paper "Convolutional Sequence to Sequence Model for Human Dynamics"☆87Updated 2 years ago
- The implementation for "Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition" (ECCV2020).☆104Updated 3 years ago
- ☆61Updated 4 years ago
- ☆18Updated 4 years ago
- [ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.☆120Updated 2 years ago
- Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition☆152Updated 6 years ago
- Code for CVPR2019 Towards Natural and Accurate Future Motion Prediction of Humans and Animals☆102Updated 3 years ago
- A Simple Baseline for Human Motion Prediction☆145Updated last year
- Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".☆239Updated 3 years ago
- vanoracai / Exploiting-Spatial-temporal-Relationships-for-3D-Pose-Estimation-via-Graph-Convolutional-Networkscode for ICCV 2019 Paper Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks☆117Updated 5 years ago
- The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).☆272Updated last year
- ☆19Updated last year
- This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.☆193Updated 5 years ago
- ST-GCN-5-25☆8Updated 5 years ago
- View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition☆130Updated last year
- [BMVC 2021 Oral] Official implementation of our paper "A Unified Framework for Real-world Skeleton-based Action Recognition" on Toyota Sm…☆50Updated 2 years ago
- Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition☆313Updated 2 years ago
- Modulated Graph Convolutional Network for 3D Human Pose Estimation☆54Updated 2 years ago
- The model architecture of AS-GCN (for human action recognition)☆295Updated 3 years ago