Skip to content

Latest commit

 

History

History
27 lines (17 loc) · 565 Bytes

README.md

File metadata and controls

27 lines (17 loc) · 565 Bytes

hyperparams-free-3D-losses

This repository contains the implementation of the losses used in the paper "Hyperparameter-Free Losses for Model-Based Monocular Reconstruction".

We also provide the 3D annotations in MICC and FaceWarehouse datasets that were used for the evaluation of the models in the paper.

Installation

To install:

pip install -r requirements.txt

After that, you can run the tests to ensure everything is working properly

python -m unittest

Usage

Running an example on how to use the losses:

python main.py