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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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소개
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  1. 홈
  2. SOTA
  3. 그레이스케일 이미지 노이즈 제거
  4. Grayscale Image Denoising On Bsd68 Sigma50

Grayscale Image Denoising On Bsd68 Sigma50

평가 지표

PSNR

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
PSNR
Paper TitleRepository
N3Net26.39Neural Nearest Neighbors Networks
BUIFD75 (blind)25.1Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Index Network26.34Index Network
GroupCDL26.47Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning
ADL26.87Adversarial Distortion Learning for Medical Image Denoising
Deep CNN Denoiser26.19Learning Deep CNN Denoiser Prior for Image Restoration
Big-CDLNet26.35CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning
MWCNN26.53Multi-level Wavelet-CNN for Image Restoration
NLRN26.47Non-Local Recurrent Network for Image Restoration
FFDNet26.29FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
RIDNet26.4Real Image Denoising with Feature Attention
Residual Dense Network +26.43Residual Dense Network for Image Restoration
KBNet26.65KBNet: Kernel Basis Network for Image Restoration
SwinIA26.61SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions-
GCDN26.38Deep Graph-Convolutional Image Denoising
0 of 15 row(s) selected.
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한국어

소개

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뉴스튜토리얼데이터셋백과사전

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