SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 976–1000 of 7282 papers

TitleStatusHype
Generalized Low Rank ModelsCode1
GENIE: Higher-Order Denoising Diffusion SolversCode1
High-Frequency Space Diffusion Models for Accelerated MRICode1
Unified Discrete Diffusion for Categorical DataCode1
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationCode1
Gated Multi-Resolution Transfer Network for Burst Restoration and EnhancementCode1
GAN-based Priors for Quantifying UncertaintyCode1
Are Diffusion Models Vision-And-Language Reasoners?Code1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
Adversarial Distortion Learning for Medical Image DenoisingCode1
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT DenoisingCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
EdiBERT, a generative model for image editingCode1
Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMMCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation PriorsCode1
Fully Convolutional Pixel Adaptive Image DenoiserCode1
Fully Spiking Denoising Diffusion Implicit ModelsCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
A Conditional Diffusion Model for Electrical Impedance Tomography Image ReconstructionCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
FusionINN: Decomposable Image Fusion for Brain Tumor MonitoringCode1
Show:102550
← PrevPage 40 of 292Next →
All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified