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 23512360 of 7282 papers

TitleStatusHype
PCLD: Point Cloud Layerwise Diffusion for Adversarial PurificationCode0
Implicit Image-to-Image Schrodinger Bridge for Image RestorationCode0
Low-dose CT Denoising with Language-engaged Dual-space AlignmentCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Data0
Privacy-Preserving Diffusion Model Using Homomorphic EncryptionCode1
The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT0
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic AlignmentCode5
Denoising Autoregressive Representation Learning0
Fréchet Denoised Distance: Enhancing Plausibility Evaluation for Generated Designs with Denoising AutoencoderCode0
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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