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 29212930 of 7282 papers

TitleStatusHype
Successfully Applying Lottery Ticket Hypothesis to Diffusion ModelCode0
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
INCODE: Implicit Neural Conditioning with Prior Knowledge EmbeddingsCode1
MCRAGE: Synthetic Healthcare Data for FairnessCode0
Direct Unsupervised Denoising0
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation0
Style Description based Text-to-Speech with Conditional Prosodic Layer Normalization based Diffusion GAN0
Interacting Diffusion Processes for Event Sequence ForecastingCode0
CodeFusion: A Pre-trained Diffusion Model for Code Generation0
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning0
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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