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Grayscale Image Denoising On Bsd68 Sigma15

평가 지표

PSNR

평가 결과

이 벤치마크에서 각 모델의 성능 결과

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

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Grayscale Image Denoising On Bsd68 Sigma15 | SOTA | HyperAI초신경