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 11711180 of 7282 papers

TitleStatusHype
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language ModelsCode1
WIRE: Wavelet Implicit Neural RepresentationsCode1
Task-specific Scene Structure RepresentationsCode1
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data SetsCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and GuidanceCode1
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light PhotographyCode1
Diffuse3D: Wide-Angle 3D Photography via Bilateral DiffusionCode1
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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