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Models/PNGAN

PNGAN

Reported on 26 benchmarks across 4 tasks · 1 paper · 21 SOTA

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

Medical10 results

Image DenoisingonSIDD
PSNR (sRGB)· uses extra data· 2022-04-06
40.07
best: 40.39 (CGNet)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Image DenoisingonNam
PSNR· 2022-04-06
40.78
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Image DenoisingonNam
SSIM· 2022-04-06
0.986
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Image DenoisingonPolyU
PSNR· 2022-04-06
40.55
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Image DenoisingonPolyU
SSIM· 2022-04-06
0.983
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Image DenoisingonDND
PSNR (sRGB)· uses extra data· 2022-04-06
40.18
best: 40.594 (DualDn)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Image DenoisingonDND
SSIM (sRGB)· uses extra data· 2022-04-06
0.961
best: 0.966 (DualDn)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Noise EstimationonSIDD
Average KL Divergence· 2022-04-06
0.153
best: 0.728 (CBDNet)
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Noise EstimationonSIDD
PSNR Gap· 2022-04-06
0.84
best: 8.3 (CBDNet)
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
Image DenoisingonSIDD
SSIM (sRGB)· uses extra data· 2022-04-06
0.96
best: 0.973 (NBNet)
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844

Computer Vision8 results

DenoisingonSIDD
PSNR (sRGB)· uses extra data· 2022-04-06
40.07
best: 40.39 (CGNet)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
DenoisingonNam
PSNR· 2022-04-06
40.78
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
DenoisingonNam
SSIM· 2022-04-06
0.986
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
DenoisingonPolyU
PSNR· 2022-04-06
40.55
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
DenoisingonPolyU
SSIM· 2022-04-06
0.983
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
DenoisingonDND
PSNR (sRGB)· uses extra data· 2022-04-06
40.18
best: 40.594 (DualDn)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
DenoisingonDND
SSIM (sRGB)· uses extra data· 2022-04-06
0.961
best: 0.966 (DualDn)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
DenoisingonSIDD
SSIM (sRGB)· uses extra data· 2022-04-06
0.96
best: 0.973 (NBNet)
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844

Adversarial8 results

3D ArchitectureonSIDD
PSNR (sRGB)· uses extra data· 2022-04-06
40.07
best: 40.39 (CGNet)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
3D ArchitectureonNam
PSNR· 2022-04-06
40.78
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
3D ArchitectureonNam
SSIM· 2022-04-06
0.986
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
3D ArchitectureonPolyU
PSNR· 2022-04-06
40.55
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
3D ArchitectureonPolyU
SSIM· 2022-04-06
0.983
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
3D ArchitectureonDND
PSNR (sRGB)· uses extra data· 2022-04-06
40.18
best: 40.594 (DualDn)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
3D ArchitectureonDND
SSIM (sRGB)· uses extra data· 2022-04-06
0.961
best: 0.966 (DualDn)
SOTA
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844
3D ArchitectureonSIDD
SSIM (sRGB)· uses extra data· 2022-04-06
0.96
best: 0.973 (NBNet)
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training arXiv:2204.02844