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Getting Started

Start by cloning this repository:

git clone [email protected]:huangyangyi/ELICIT.git
cd ELICIT

Environment

We use the following environment in our experiments:

  • Ubuntu 18.04
  • CUDA 11.3
  • 1 GPU with >12G memory for rendering
  • 4 NVIDIA V100 GPUs(32G) for training
  • Python=3.7
  • PyTorch=1.12.0
  • torchvision=0.13.0

Installation

  1. Setting the CUDA_HOME environment variable.
  2. Install PyTorch and torchvision following the official tutorial.
  3. Install dependencies by
pip install -r requirements.txt

Download SMPL model

Please register SMPLify at first, and then download mpips_smplify_public_v2.zip from the webpage, unzip and copy the neural SMPL model:

SMPL_DIR=/path/to/smpl
MODEL_DIR=$SMPL_DIR/smplify_public/code/models
cp $MODEL_DIR/basicModel_neutral_lbs_10_207_0_v1.0.0.pkl third_parties/smpl/models

You can follow this page to remove Chumpy objects from the SMPL model.