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Grayscale Image Denoising On Bsd68 Sigma15

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PSNR

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	PSNR	Paper Title	Repository
GCDN	31.83	Deep Graph-Convolutional Image Denoising	-
RIDNet	31.81	Real Image Denoising with Feature Attention	-
KBNet	31.98	KBNet: Kernel Basis Network for Image Restoration	-
Deep CNN Denoiser	31.63	Learning Deep CNN Denoiser Prior for Image Restoration	-
BUIFD75 (blind)	31.35	Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning	-
FFDNet	31.63	FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising	-
SwinIR	31.97	SwinIR: Image Restoration Using Swin Transformer	-
NLRN	31.88	Non-Local Recurrent Network for Image Restoration	-
TNRD	31.42	Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration	-
ADL	32.11	Adversarial Distortion Learning for Medical Image Denoising	-
Big-CDLNet	31.74	CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning	-
GroupCDL	31.82	Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning	-
SwinIA	31.07	SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions	-
MWCNN	31.86	Multi-level Wavelet-CNN for Image Restoration	-
Index Network	31.23	Index Network	-
Restormer	31.96	Restormer: Efficient Transformer for High-Resolution Image Restoration	-

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Grayscale Image Denoising On Bsd68 Sigma15 | SOTA | HyperAI