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The Code will be released soon!

ConvFormer

This repo is the official implementation of ConvFormer: 3D Human Pose Estimation with Dynamic Multi-headed Convolutional Attention

ConvFormer Architecture:

figure

Video Demo

Environment

The code was developed and tested under the following environment:

- Python 3.8.5
- Pytorch 1.10.0
- CUDA 10.2.0

You can create the environment running:

  conda env create -f convformer.yml

Dataset

Our code is compatible with the dataset setup introduced in Martinez et al. and Pavllo et al. Please refer to either repo to set up H3.6M (./data director)

Evaluation

Demo

Examples

Screenshot (79)

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