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 771780 of 7282 papers

TitleStatusHype
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT DenoisingCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative ModelingCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
A cross Transformer for image denoisingCode1
Artifact Restoration in Histology Images with Diffusion Probabilistic ModelsCode1
Denoising Task Routing for Diffusion ModelsCode1
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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