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Image Denoising On Sidd

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PSNR (sRGB)
SSIM (sRGB)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
PSNR (sRGB)
SSIM (sRGB)
Paper TitleRepository
AKDT39.700.961AKDT: Adaptive Kernel Dilation Transformer for Effective Image Denoising
MIRNet39.720.959Learning Enriched Features for Real Image Restoration and Enhancement-
MAXIM-3S39.960.960MAXIM: Multi-Axis MLP for Image Processing-
HINet39.990.958HINet: Half Instance Normalization Network for Image Restoration-
VDN39.280.956Variational Denoising Network: Toward Blind Noise Modeling and Removal-
RIDNet38.710.951Real Image Denoising with Feature Attention-
DRANet-0.957Dual Residual Attention Network for Image Denoising-
NAFNet40.300.961Simple Baselines for Image Restoration-
DANet+39.470.957Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation-
SSAMAN40.080.962Single Stage Adaptive Multi-Attention Network for Image Restoration
CGNet40.390.964CascadedGaze: Efficiency in Global Context Extraction for Image Restoration-
AINDNet38.950.952Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization-
NBNet-0.973NBNet: Noise Basis Learning for Image Denoising with Subspace Projection-
Restormer40.020.960Restormer: Efficient Transformer for High-Resolution Image Restoration-
CBDNet30.780.801Toward Convolutional Blind Denoising of Real Photographs-
SADNet39.460.957Spatial-Adaptive Network for Single Image Denoising-
SRMNet39.720.959Selective Residual M-Net for Real Image Denoising-
KBNet40.350.972KBNet: Kernel Basis Network for Image Restoration-
CycleISP39.520.957CycleISP: Real Image Restoration via Improved Data Synthesis-
Uformer-B39.890.960Uformer: A General U-Shaped Transformer for Image Restoration-
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Image Denoising On Sidd | SOTA | HyperAI