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This work was done only to show some sample outputs. Different random seeds can lead to totally different outcomes. Therefore, we need to investigate outputs from repeated trials to correctly compare two GAN methods.
For faster training, I used only 50k images from CelebA (resized to be 64x64)
Large learning rate (0.01)
Vanilla DCGAN
After 2 epochs
After 10 epochs
After 25 epochs
DCGAN w/ prediction
After 2 epochs
After 10 epochs
After 25 epochs
Medium learning rate (0.0001)
Vanilla DCGAN
After 2 epochs
After 10 epochs
After 25 epochs
DCGAN w/ prediction
After 2 epochs
After 10 epochs
After 25 epochs
Small learning rate (1e-5)
Vanilla DCGAN
After 2 epochs
After 10 epochs
After 25 epochs
DCGAN w/ prediction
After 2 epochs
After 10 epochs
After 25 epochs
The text was updated successfully, but these errors were encountered:
Notes
Large learning rate (0.01)
Vanilla DCGAN
DCGAN w/ prediction
Medium learning rate (0.0001)
Vanilla DCGAN
DCGAN w/ prediction
Small learning rate (1e-5)
Vanilla DCGAN
DCGAN w/ prediction
The text was updated successfully, but these errors were encountered: