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  4. Grayscale Image Denoising On Bsd68 Sigma15

Grayscale Image Denoising On Bsd68 Sigma15

评估指标

PSNR

评测结果

各个模型在此基准测试上的表现结果

模型名称
PSNR
Paper TitleRepository
GCDN31.83Deep Graph-Convolutional Image Denoising-
RIDNet31.81Real Image Denoising with Feature Attention-
KBNet31.98KBNet: Kernel Basis Network for Image Restoration-
Deep CNN Denoiser31.63Learning Deep CNN Denoiser Prior for Image Restoration-
BUIFD75 (blind)31.35Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning-
FFDNet31.63FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising-
SwinIR31.97SwinIR: Image Restoration Using Swin Transformer-
NLRN31.88Non-Local Recurrent Network for Image Restoration-
TNRD31.42Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration-
ADL32.11Adversarial Distortion Learning for Medical Image Denoising-
Big-CDLNet31.74CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning-
GroupCDL31.82Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning-
SwinIA31.07SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions-
MWCNN31.86Multi-level Wavelet-CNN for Image Restoration-
Index Network31.23Index Network-
Restormer31.96Restormer: Efficient Transformer for High-Resolution Image Restoration-
0 of 16 row(s) selected.
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