- pggan_512.pth:
- Average SWD: 1559.362
4 × 4 |
8 × 8 |
16 × 16 |
32 × 32 |
64 × 64 |
128 × 128 |
256 × 256 |
512 × 512 |
1,024 × 1,024 |
![](https://private-user-images.githubusercontent.com/67457712/313528648-bbec36d2-9256-461c-980d-a43e9d5af3ff.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.QvyrUmsm5uYFnLFwV8e01vUBjKpGHTyamqndY2zE8wU)
![](https://private-user-images.githubusercontent.com/67457712/313528651-bd9a39cf-7f13-4c27-8165-4a3811cb7471.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.MCEZ20XAFnOKjSVudh3JsYbAaFmd3DykE43VtLvAS1Y)
![](https://private-user-images.githubusercontent.com/67457712/313528653-78cf3f90-cda0-42ab-8689-cd53d5c77c4d.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.xNrSDh5djvlesYM9MZOGi6SkMhGlXdcmN1ZkzmtEvK8)
![](https://private-user-images.githubusercontent.com/67457712/313528656-cd4ea9cd-6472-44ec-b28c-054a6caf7023.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.Ob0ZDbcYwQIuVXsoq3LreeVirAA0ZGrXOZC0qqxl7RY)
![](https://private-user-images.githubusercontent.com/67457712/313528660-996cfa7d-f111-4e6f-81ef-992585cadfcf.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.GGI-x1GGlsfdf9OkMTlTs6ShNt4kb7QhECjuUTksUic)
- 이전까지는 CelebA-HQ의 Training set에 대해 Mean과 Std를 계산해서 이걸 가지고 Normalize했습니다.
T.Normalize(mean=(0.517, 0.416, 0.363), std=(0.303, 0.275, 0.269))
- 논문에서는 "We represent training and generated images in
$[-1, 1]$ ."라는 표현이 있는 것을 알고 있었으나 이를 간과하고 있었습니다. - 다음과 같이 코드를 수정했습니다.
T.Normalize(mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5))