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Models/FFDNet-Clip

FFDNet-Clip

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Computer Vision5 results

DenoisingonClip300 sigma25
PSNR· 2017-10-11
29.25
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026
DenoisingonClip300 sigma50
PSNR· 2017-10-11
26.25
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026
DenoisingonClip300 sigma15
PSNR· 2017-10-11
31.68
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026
DenoisingonClip300 sigma35
PSNR· 2017-10-11
27.75
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026
DenoisingonClip300 sigma60
PSNR· 2017-10-11
25.51
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026

Adversarial5 results

3D ArchitectureonClip300 sigma25
PSNR· 2017-10-11
29.25
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026
3D ArchitectureonClip300 sigma50
PSNR· 2017-10-11
26.25
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026
3D ArchitectureonClip300 sigma15
PSNR· 2017-10-11
31.68
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026
3D ArchitectureonClip300 sigma35
PSNR· 2017-10-11
27.75
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026
3D ArchitectureonClip300 sigma60
PSNR· 2017-10-11
25.51
SOTA
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising arXiv:1710.04026