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Color Image Denoising On Cbsd68 Sigma50

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PSNR

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	PSNR	Paper Title	Repository
MemNet	26.33	MemNet: A Persistent Memory Network for Image Restoration
DMID-d (MMSE)	28.69	Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
RCOT	28.25	Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
DnCNN	28.01	Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
DMID-p	26.63	Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
ADL	29.02	Adversarial Distortion Learning for Medical Image Denoising
CBUIFD75	26.60	Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
PaCNet	27.93	Patch Craft: Video Denoising by Deep Modeling and Patch Matching
IRCNN	27.86	Learning Deep CNN Denoiser Prior for Image Restoration
Spatial-CNN	27.63	ViDeNN: Deep Blind Video Denoising
RIDNet	28.14	Real Image Denoising with Feature Attention
AKDT	28.68	AKDT: Adaptive Kernel Dilation Transformer for Effective Image Denoising
Instruct-IPT	28.61	Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
Residual Dense Network +	28.34	Residual Dense Network for Image Super-Resolution
CSCNet	28.00	Rethinking the CSC Model for Natural Images
IPT	29.39	Pre-Trained Image Processing Transformer
FFDNet	27.96	FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
DMID-d	28.69	Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling

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