Collections:
- Metadata:
    Architecture:
    - Positional Encoding in GANs
  Name: Positional Encoding in GANs
  Paper:
  - https://openaccess.thecvf.com/content/CVPR2021/html/Xu_Positional_Encoding_As_Spatial_Inductive_Bias_in_GANs_CVPR_2021_paper.html
  README: configs/positional_encoding_in_gans/README.md
Models:
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/stylegan2_c2_ffhq_256_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: stylegan2_c2_ffhq_256_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 5.56
      P&R10k: 75.92/51.24
      Reference in Paper: Tab.5 config-a
      Scales: 256.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/stylegan2_c2_config-a_ffhq_256x256_b3x8_1100k_20210406_145127-71d9634b.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/stylegan2_c2_ffhq_512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: stylegan2_c2_ffhq_512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 4.91
      P&R10k: 75.65/54.58
      Reference in Paper: Tab.5 config-b
      Scales: 512.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/stylegan2_c2_config-b_ffhq_512x512_b3x8_1100k_20210406_145142-e85e5cf4.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-c_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-c_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 3.35
      P&R10k: 73.84/55.77
      Reference in Paper: Tab.5 config-c
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-c_ffhq_256-512_b3x8_1100k_20210406_144824-9f43b07d.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-d_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-d_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 3.5
      P&R10k: 73.28/56.16
      Reference in Paper: Tab.5 config-d
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-d_ffhq_256-512_b3x8_1100k_20210406_144840-dbefacf6.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-e_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-e_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 3.15
      P&R10k: 74.13/56.88
      Reference in Paper: Tab.5 config-e
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-e_ffhq_256-512_b3x8_1100k_20210406_144906-98d5a42a.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-f_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-f_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 2.93
      P&R10k: 73.51/57.32
      Reference in Paper: Tab.5 config-f
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-f_ffhq_256-512_b3x8_1100k_20210406_144927-4f4d5391.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c1_config-g_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c1_config-g_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 3.4
      P&R10k: 73.05/56.45
      Reference in Paper: Tab.5 config-g
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c1_config-g_ffhq_256-512_b3x8_1100k_20210406_144758-2df61752.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-h_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-h_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 4.01
      P&R10k: 72.81/54.35
      Reference in Paper: Tab.5 config-h
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-h_ffhq_256-512_b3x8_1100k_20210406_145006-84cf3f48.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-i_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-i_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 3.76
      P&R10k: 73.26/54.71
      Reference in Paper: Tab.5 config-i
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-i_ffhq_256-512_b3x8_1100k_20210406_145023-c2b0accf.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-j_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-j_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 4.23
      P&R10k: 73.11/54.63
      Reference in Paper: Tab.5 config-j
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-j_ffhq_256-512_b3x8_1100k_20210406_145044-c407481b.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-k_ffhq_256-512_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-k_ffhq_256-512_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 4.17
      P&R10k: 73.05/51.07
      Reference in Paper: Tab.5 config-k
      Scales: 256, 384, 512
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-k_ffhq_256-512_b3x8_1100k_20210406_145105-6d8cc39f.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c2_config-f_ffhq_256-896_b3x8_1100k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c2_config-f_ffhq_256-896_b3x8_1100k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 4.1
      P&R10k: 72.21/50.29
      Reference in Paper: higher-resolution
      Scales: 256, 512, 896
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c2_config-f_ffhq_256-896_b3x8_1100k_20210406_144943-6c18ad5d.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/mspie-stylegan2_c1_config-f_ffhq_256-1024_b2x8_1600k.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: FFHQ
  Name: mspie-stylegan2_c1_config-f_ffhq_256-1024_b2x8_1600k
  Results:
  - Dataset: FFHQ
    Metrics:
      FID50k: 6.24
      P&R10k: 71.79/49.92
      Reference in Paper: higher-resolution
      Scales: 256, 512, 1024
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/mspie-stylegan2_c1_config-f_ffhq_256-1024_b2x8_1600k_20210406_144716-81cbdc96.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/singan_interp-pad_balloons.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: Others
  Name: singan_interp-pad_balloons
  Results:
  - Dataset: Others
    Metrics:
      Num Scales: 8.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/singan_interp-pad_balloons_20210406_180014-96f51555.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/singan_interp-pad_disc-nobn_balloons.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: Others
  Name: singan_interp-pad_disc-nobn_balloons
  Results:
  - Dataset: Others
    Metrics:
      Num Scales: 8.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/singan_interp-pad_disc-nobn_balloons_20210406_180059-7d63e65d.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/singan_interp-pad_disc-nobn_fish.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: Others
  Name: singan_interp-pad_disc-nobn_fish
  Results:
  - Dataset: Others
    Metrics:
      Num Scales: 10.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/singan_interp-pad_disc-nobn_fis_20210406_175720-9428517a.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/singan_csg_fish.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: Others
  Name: singan_csg_fish
  Results:
  - Dataset: Others
    Metrics:
      Num Scales: 10.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/singan_csg_fis_20210406_175532-f0ec7b61.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/singan_csg_bohemian.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: Others
  Name: singan_csg_bohemian
  Results:
  - Dataset: Others
    Metrics:
      Num Scales: 10.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/singan_csg_bohemian_20210407_195455-5ed56db2.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/singan_spe-dim4_fish.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: Others
  Name: singan_spe-dim4_fish
  Results:
  - Dataset: Others
    Metrics:
      Num Scales: 10.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/singan_spe-dim4_fish_20210406_175933-f483a7e3.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/singan_spe-dim4_bohemian.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: Others
  Name: singan_spe-dim4_bohemian
  Results:
  - Dataset: Others
    Metrics:
      Num Scales: 10.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/singan_spe-dim4_bohemian_20210406_175820-6e484a35.pth
- Config: https://github.com/open-mmlab/mmgeneration/tree/master/configs/positional_encoding_in_gans/singan_spe-dim8_bohemian.py
  In Collection: Positional Encoding in GANs
  Metadata:
    Training Data: Others
  Name: singan_spe-dim8_bohemian
  Results:
  - Dataset: Others
    Metrics:
      Num Scales: 10.0
    Task: Unconditional GANs
  Weights: https://download.openmmlab.com/mmgen/pe_in_gans/singan_spe-dim8_bohemian_20210406_175858-7faa50f3.pth