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 27412750 of 7282 papers

TitleStatusHype
First image then video: A two-stage network for spatiotemporal video denoisingCode0
Noise-aware Physics-informed Machine Learning for Robust PDE DiscoveryCode0
FiRe: Fixed-points of Restoration Priors for Solving Inverse ProblemsCode0
First line of defense: A robust first layer mitigates adversarial attacksCode0
CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and RecognitionCode0
Fingerprint Presentation Attack Detection by Channel-wise Feature DenoisingCode0
Flashlight CNN Image DenoisingCode0
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRICode0
Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold NetworkCode0
Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold NetworkCode0
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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