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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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소개
한국어
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  1. 홈
  2. SOTA
  3. 그레이스케일 이미지 노이즈 제거
  4. Grayscale Image Denoising On Bsd68 Sigma15

Grayscale Image Denoising On Bsd68 Sigma15

평가 지표

PSNR

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
PSNR
Paper TitleRepository
GCDN31.83Deep Graph-Convolutional Image Denoising
RIDNet31.81Real Image Denoising with Feature Attention
KBNet31.98KBNet: Kernel Basis Network for Image Restoration
Deep CNN Denoiser31.63Learning Deep CNN Denoiser Prior for Image Restoration
BUIFD75 (blind)31.35Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
FFDNet31.63FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
SwinIR31.97SwinIR: Image Restoration Using Swin Transformer
NLRN31.88Non-Local Recurrent Network for Image Restoration
TNRD31.42Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration-
ADL32.11Adversarial Distortion Learning for Medical Image Denoising
Big-CDLNet31.74CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning
GroupCDL31.82Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning
SwinIA31.07SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions-
MWCNN31.86Multi-level Wavelet-CNN for Image Restoration
Index Network31.23Index Network
Restormer31.96Restormer: Efficient Transformer for High-Resolution Image Restoration
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한국어

소개

회사 소개데이터셋 도움말

제품

뉴스튜토리얼데이터셋백과사전

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