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README.md | 2022-07-05 | 412 Bytes | |
v.0.4.0.tar.gz | 2022-07-05 | 18.4 MB | |
v.0.4.0.zip | 2022-07-05 | 18.6 MB | |
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- We checked the reproducibility of implemented GANs.
- We provide Baby, Papa, and Grandpa ImageNet datasets where images are processed using the anti-aliasing and high-quality resizer.
- StudioGAN provides a dedicatedly established Benchmark on standard datasets (CIFAR10, ImageNet, AFHQv2, and FFHQ).
- StudioGAN supports InceptionV3, ResNet50, SwAV, DINO, and Swin Transformer backbones for GAN evaluation.