Love2Live
CVAE based School Idol image generation. Published in proc. of SSCC 2nd, 2017.
Install / Use
/learn @theeluwin/Love2LiveREADME
Love2Live
Zenkai No? Love Live!
Conditional Variational Autoencoder [1] based School Idol image generation, implemented in PyTorch.
Used 1,466 face images of members of main school idol teams on the animation "Love Live!", extracted from the game "Love Live! School Idol Festival".
Note that this repo's implementation is also a fine implementation of the CVAE.
Requirements
- numpy
- scipy
- pytorch
Usage
Clone the repo and type following:
python preprocess.py
python train.py
python sample.py
Using a nice GPU is heavily recommended.
Results
Autoencoding images in a train set
Autoencoding images in a test set
Generating images from a randomly sampled latent vector
Interpolating conditions
Hanayo to Rin:
Maki to Nico:
Maki to Yoshiko:
Ruby to Dia:
Yoshiko to Riko:
[1] Kingma, Diederik P., et al. "Semi-supervised learning with deep generative models." Advances in Neural Information Processing Systems. 2014.
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