MediaBrain-SJTU / AuxFormer
[ICCV2023] Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
☆29Updated last year
Alternatives and similar repositories for AuxFormer:
Users that are interested in AuxFormer are comparing it to the libraries listed below
- The source codes of 'Skeleton-parted graph scattering networks for 3D human motion prediction'. ECCV 2022☆29Updated 2 years ago
- CVPR 2022☆45Updated 2 years ago
- Official implementation of MSR-GCN (ICCV2021 paper)☆66Updated last year
- [IEEE RA-L] Official repo for paper "TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Predict…☆11Updated 5 months ago
- ☆11Updated 2 years ago
- [ICCV2023] Joint-Relation Transformer for Multi-Person Motion Prediction☆25Updated last year
- Code for AAAI 2024 paper "GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction"☆12Updated last month
- Official implementation of paper "Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting".☆38Updated last year
- Code repository for the paper "Learning Discriminative Representations for Skeleton Based Action Recognition". CVPR 2023☆54Updated last year
- [ICRA 2023] Official implementation of "A generic diffusion-based approach for 3D human pose prediction in the wild".☆48Updated 4 months ago
- Official implementation of the ICCV 2023 paper "Masked Motion Predictors are Strong 3D Action Representation Learners"☆45Updated last year
- [ICCV2023] Official PyTorch Implementation of "BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction". ICCV 2023☆114Updated last year
- A Simple Baseline for Human Motion Prediction☆138Updated 10 months ago
- This is the official implementation of the paper "MotionMixer: MLP-based 3D Human Body Pose Forecasting" (IJCAI 2022, oral-presentation).☆51Updated 2 years ago
- This is the official implementation of Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning (ECCV 2022).☆23Updated last year
- Code repository for Incorporating Physics Principles for Precise Human Motion Prediction☆27Updated 10 months ago
- Repository for "Space-Time-Separable Graph Convolutional Network for Pose Forecasting" (ICCV 2021)☆98Updated 2 years ago
- This is an official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Actio…☆65Updated 2 years ago
- official implementation for Language Supervised Training for Skeleton-based Action Recognition☆108Updated last year
- Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition☆56Updated 2 years ago
- Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations, AAAI 2023☆29Updated 2 years ago
- ☆35Updated last year
- ☆28Updated 2 months ago
- ☆22Updated 9 months ago
- [ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anc…☆72Updated last year
- ☆32Updated 2 years ago
- The repository is the implementation of ICLR 2023 paper "Graph Contrastive Learning for Skeleton-based Action Recognition".☆53Updated last year
- The Pytorch implementation for "GraFormer: Graph Convolution Transformer for 3D Pose Estimation" https://arxiv.org/pdf/2109.08364.pdf☆52Updated 3 years ago
- Multi-Person 3D Motion Prediction with Multi-Range Transformers. In NeurIPS2021☆68Updated 2 years ago
- ☆108Updated last year