Collections:
- Metadata:
    Architecture:
    - GGAN
  Name: GGAN
  Paper:
  - https://arxiv.org/abs/1705.02894
  README: configs/ggan/README.md
Models:
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/ggan/ggan_celeba-cropped_dcgan-archi_lr-1e-3_64_b128x1_12m.py
  In Collection: GGAN
  Metadata:
    Training Data: CELEBA
  Name: ggan_celeba-cropped_dcgan-archi_lr-1e-3_64_b128x1_12m
  Results:
  - Dataset: CELEBA
    Metrics:
      FID: 20.1797
      MS-SSIM: 0.3318
      SWD: 11.18, 12.21, 39.16/20.85
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/ggan/ggan_celeba-cropped_dcgan-archi_lr-1e-3_64_b128x1_12m.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/ggan/ggan_celeba-cropped_dcgan-archi_lr-1e-4_128_b64x1_10m.py
  In Collection: GGAN
  Metadata:
    Training Data: CELEBA
  Name: ggan_celeba-cropped_dcgan-archi_lr-1e-4_128_b64x1_10m
  Results:
  - Dataset: CELEBA
    Metrics:
      FID: 18.7647
      MS-SSIM: 0.3149
      SWD: 9.81, 11.29, 19.22, 47.79/22.03
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/ggan/ggan_celeba-cropped_dcgan-archi_lr-1e-4_128_b64x1_10m_20210430_143027-516423dc.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/ggan/ggan_lsun-bedroom_lsgan_archi_lr-1e-4_64_b128x1_20m.py
  In Collection: GGAN
  Metadata:
    Training Data: LSUN
  Name: ggan_lsun-bedroom_lsgan_archi_lr-1e-4_64_b128x1_20m
  Results:
  - Dataset: LSUN
    Metrics:
      FID: 85.6629
      MS-SSIM: 0.0649
      SWD: 9.1, 6.2, 12.27/9.19
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/ggan/ggan_lsun-bedroom_lsgan_archi_lr-1e-4_64_b128x1_20m_20210430_143114-5d99b76c.pth