RIDNet (blind)

Reported on 4 benchmarks across 2 tasks · 1 paper

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

Computer Vision2 results

DenoisingonDarmstadt Noise Dataset
PSNR (sRGB)· 2019-04-16
39.23
best: 40.35 (Image Unprocessing)
Real Image Denoising with Feature Attention arXiv:1904.07396
DenoisingonDarmstadt Noise Dataset
SSIM (sRGB)· 2019-04-16
0.9526
best: 0.9641 (Image Unprocessing)
Real Image Denoising with Feature Attention arXiv:1904.07396

Adversarial2 results

3D ArchitectureonDarmstadt Noise Dataset
PSNR (sRGB)· 2019-04-16
39.23
best: 40.35 (Image Unprocessing)
Real Image Denoising with Feature Attention arXiv:1904.07396
3D ArchitectureonDarmstadt Noise Dataset
SSIM (sRGB)· 2019-04-16
0.9526
best: 0.9641 (Image Unprocessing)
Real Image Denoising with Feature Attention arXiv:1904.07396