Creative Birds: Self-Supervised Single-View 3D Style Transfer

Visualizations

• Evolutionary Birds from Different Angles
• Shape transfer with Different Scale Factor (Alpha)
• Texture transfer with Different Switch Gate

Prerequisites

• Download code & pre-trained model: Git clone the code by:

git clone https://github.com/anonymous-226/2D-to-3D-Evolution-Transfer $ROOTPATH

The pretrained model can be found from here, which should be unzipped in $ROOTPATH.

• Install packages:

conda create -n evo_trans python=3.6
conda activate evo_trans
conda install pytorch==1.8.0 torchvision==0.9.0 cudatoolkit=11.1 -c pytorch -c conda-forge
pip install -r requirements.txt

• Install external tools:

cd $ROOTPATH/2D-to-3D-Evolution-Transfer/dependency
unzip meshzoo-0.4.3.zip
cd meshzoo-0.4.3
python setup.py install

cd $ROOTPATH/2D-to-3D-Evolution-Transfer/dependency
unzip neural_renderer.zip
cd neural_renderer
python setup.py install

Run the test

Run the following command from the $ROOTPATH/2D-to-3D-Evolution-Transfer directory:

python -m evo_trans.experiments.test_df2

The result can be found in $ROOTPATH/2D-to-3D-Evolution-Transfer/evo_trans/cachedir/visualization directory.