Machine Learning

Learning Skeletal Articulations with Neural Blend Shapes

neural-blend-shapes

This repository provides an end-to-end library for automatic character rigging, skinning, and blend shapes generation, as well as a visualization tool. It is based on our work Learning Skeletal Articulations with Neural Blend Shapes that is published in SIGGRAPH 2021.

neural-blend-shapes

Prerequisites

Our code has been tested on Ubuntu 18.04. Before starting, please configure your Anaconda environment by

conda env create -f environment.yaml
conda activate neural-blend-shapes

Or you may install the following packages (and their dependencies) manually:

  • pytorch 1.8
  • tensorboard
  • tqdm
  • chumpy
  • opencv-python

Quick Start

We provide a pretrained model that is dedicated for biped characters. Download and extract the pretrained model from Google Drive or Baidu Disk (9ras) and put the pre_trained folder under the project directory. Run



 


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