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

Showing 42814290 of 7282 papers

TitleStatusHype
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models0
Robust Hyperspectral Image Fusion with Simultaneous Guide Image Denoising via Constrained Convex Optimization0
JPEG Artifact Correction using Denoising Diffusion Restoration ModelsCode1
LGDN: Language-Guided Denoising Network for Video-Language Modeling0
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions0
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image TranslationCode1
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data0
Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN0
De-speckling of Optical Coherence Tomography Images Using Anscombe Transform and a Noisier2noise Model0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified