Repository for implementation of generative models with Tensorflow 1.x
This repository is for implementation of Generative Models
using Tensorflow 1.12
The structure of the code is based on the Hwalsuk Lee's Generative Model github repository
MMC Lab GAN Study Group members
MNIST
MNIST | CelebA |
---|---|
MNIST | CelebA |
---|---|
MNIST | CelebA |
---|---|
MNIST | CelebA |
---|---|
MNIST
MNIST
CelebA
Balloon
Mountain
Starry Night
It took about 2 weeks on TITAN RTX and trained 600k images per stage.
Cherry picked images
Latent interpolation
Fixed latent
No cherry picked images
Selected images
Style Mixing with Latent Codes
Random Images
Selected images
Style Mixing with Latent Codes
Random Images
Monet to Photo | Photo to Monet |
---|---|
Horse to Zebra | Zebra to Horse |
---|---|
Horse to Zebra | Zebra to Horse |
---|---|
CelebA
Summer2Winter
Reconstruction
MNIST | CelebA |
---|---|
Latent Space Interpolation (MNIST)
Latent Space Interpolation (CelebA)
Latent Space Interpolation: Beta = 10 (CelebA)
Latent Space Interpolation: Beta = 200 (CelebA)
Reconstruction (MNIST)
Input | Reconstruction |
---|---|
Reconstruction (CelebA)
Input | Reconstruction |
---|---|
PixelCNN Trained Latent Decoding
MNIST | CelebA |
---|---|