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Models/SN-PatchGAN

SN-PatchGAN

Reported on 8 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical4 results

Image GenerationonFFHQ 1024 x 1024
LPIPS· 2020-12-08
0.24
best: 0.19 (BRGM)
SOTA
Bayesian Image Reconstruction using Deep Generative Models arXiv:2012.04567
Image GenerationonFFHQ 1024 x 1024
RMSE· 2020-12-08
30.75
best: 24.28 (BRGM)
SOTA
Bayesian Image Reconstruction using Deep Generative Models arXiv:2012.04567
Image GenerationonFFHQ 1024 x 1024
PSNR· 2020-12-08
19.67
best: 21.33 (BRGM)
Bayesian Image Reconstruction using Deep Generative Models arXiv:2012.04567
Image GenerationonFFHQ 1024 x 1024
SSIM· 2020-12-08
0.82
best: 0.84 (BRGM)
Bayesian Image Reconstruction using Deep Generative Models arXiv:2012.04567

Computer Vision4 results

Image InpaintingonFFHQ 1024 x 1024
LPIPS· 2020-12-08
0.24
best: 0.19 (BRGM)
SOTA
Bayesian Image Reconstruction using Deep Generative Models arXiv:2012.04567
Image InpaintingonFFHQ 1024 x 1024
RMSE· 2020-12-08
30.75
best: 24.28 (BRGM)
SOTA
Bayesian Image Reconstruction using Deep Generative Models arXiv:2012.04567
Image InpaintingonFFHQ 1024 x 1024
PSNR· 2020-12-08
19.67
best: 21.33 (BRGM)
Bayesian Image Reconstruction using Deep Generative Models arXiv:2012.04567
Image InpaintingonFFHQ 1024 x 1024
SSIM· 2020-12-08
0.82
best: 0.84 (BRGM)
Bayesian Image Reconstruction using Deep Generative Models arXiv:2012.04567