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 31513160 of 7282 papers

TitleStatusHype
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models0
BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial NetworkCode0
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMMCode0
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art0
FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection0
Enhanced Denoising of Optical Coherence Tomography Images Using Residual U-Net0
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion ModelsCode0
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image RestorationCode0
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays0
GeoGuide: Geometric guidance of diffusion modelsCode0
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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