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README.md 2021-11-05 736 Bytes
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  • Add SOTA GANs: LGAN, TACGAN, StyleGAN2, MDGAN, MHGAN, ADCGAN, ReACGAN (our new paper).
  • Add five types of differentiable augmentation: CR, DiffAugment, ADA, SimCLR, BYOL.
  • Implement useful regularizations: Top-K training, Feature Matching, R1-Regularization, MaxGP
  • Add Improved Precision & Recall, Density & Coverage, iFID, and CAS for reliable evaluation.
  • Support Inception_V3 and SwAV backbones for GAN evaluation.
  • Verify the reproducibility of StyleGAN2 and BigGAN.
  • Fix bugs in FreezeD, DDP training, Mixed Precision training, and ADA.
  • Support Discriminator Driven Latent Sampling, Semantic Factorization for BigGAN evaluation.
  • Support Wandb logging instead of Tensorboard.
Source: README.md, updated 2021-11-05