Inverse Style GAN

Looking up a generative latent vectors from reference images.

Usage

$ git clone https://github.com/NVlabs/stylegan.git
$ git clone https://github.com/sshh12/Inverse-Style-GAN.git
$ cd Inverse-Style-GAN
// *Install Tensorflow* //
$ pip install -r requirements.txt

Brute Force Algo

$ python brute-lookup.py --img_path face.jpg --max_iter 100

This will iteratively output best.jpg/best.npy which correspond to the best matching generated image and its latent vector.

Related Research

• A Style-Based Generator Architecture for Generative Adversarial Networks
• Inverting The Generator Of A Generative Adversarial Network