Grayscale Image Denoising On Bsd68 Sigma25

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PSNR

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
KBNet	29.54	KBNet: Kernel Basis Network for Image Restoration
ADL	29.50	Adversarial Distortion Learning for Medical Image Denoising
MWCNN	29.41	Multi-level Wavelet-CNN for Image Restoration
NLRN	29.41	Non-Local Recurrent Network for Image Restoration
GroupCDL	29.38	Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning
GCDN	29.35	Deep Graph-Convolutional Image Denoising
RIDNet	29.34	Real Image Denoising with Feature Attention
N3Net	29.3	Neural Nearest Neighbors Networks
Big-CDLNet	29.26	CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning
DnCNN	29.23	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
FFDNet	29.19	FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
SwinIA	29.17	SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions
Deep CNN Denoiser	29.15	Learning Deep CNN Denoiser Prior for Image Restoration
Index Network	29.06	Index Network
TNRD	28.92	Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
BUIFD75 (blind)	28.75	Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

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Grayscale Image Denoising On Bsd68 Sigma25 | SOTA | HyperAI