This video explores a new technique for using the same Consistency Regularization headlining advances in Unsupervised Learning such as FixMatch and SimCLR to the GAN framework! This achieves large improvements in FID scores generating ImageNet images!
Paper Links:
Improved Consistency Regularization for GANs: https://arxiv.org/pdf/2002.04724.pdf
Robert Luxemburg's StyleGAN2 Interpolation Loop: https://www.youtube.com/watch?v=6E1_dgYlifc
BigGAN Paper: https://arxiv.org/pdf/1809.11096.pdf
BigBiGAN: https://arxiv.org/pdf/1907.02544.pdf
StyleGAN2: https://arxiv.org/pdf/1912.04958.pdf
Unsupervised Data Augmentation: https://arxiv.org/pdf/1904.12848.pdf
FixMatch: https://arxiv.org/pdf/2001.07685.pdf
SimCLR: https://arxiv.org/pdf/2002.05709.pdf
Conditional GANs: https://arxiv.org/pdf/1411.1784.pdf
Thanks for watching! Please Subscribe!
Download
0 formats
No download links available.
Improved Consistency Regularization for GANs | NatokHD