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Color Image Denoising On Cbsd68 Sigma50
Color Image Denoising On Cbsd68 Sigma50
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PSNR
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
PSNR
Paper Title
IPT
29.39
Pre-Trained Image Processing Transformer
ADL
29.02
Adversarial Distortion Learning for Medical Image Denoising
DMID-d (MMSE)
28.69
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
DMID-d
28.69
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
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
RCOT
28.25
Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
RIDNet
28.14
Real Image Denoising with Feature Attention
DnCNN
28.01
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
CSCNet
28.00
Rethinking the CSC Model for Natural Images
FFDNet
27.96
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
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
DMID-p
26.63
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
CBUIFD75
26.60
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
MemNet
26.33
MemNet: A Persistent Memory Network for Image Restoration
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Color Image Denoising On Cbsd68 Sigma50 | SOTA | HyperAI