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 44914500 of 7282 papers

TitleStatusHype
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach0
Guided Speech Enhancement Network0
AutoDenoise: Automatic Data Instance Denoising for Recommendations0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration0
Heart Murmur and Abnormal PCG Detection via Wavelet Scattering Transform & a 1D-CNN0
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN0
Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery0
GECCO: Geometrically-Conditioned Point Diffusion Models0
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions0
Scattering and Gathering for Spatially Varying Blurs0
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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