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 35113520 of 7282 papers

TitleStatusHype
Least Squares Regression Can Exhibit Under-Parameterized Double Descent0
From Shortcuts to Triggers: Backdoor Defense with Denoised PoECode0
Sin3DM: Learning a Diffusion Model from a Single 3D Textured ShapeCode1
SAIL: Search-Augmented Instruction Learning0
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions0
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
Textless Speech-to-Speech Translation With Limited Parallel DataCode0
DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models0
Realistic Noise Synthesis with Diffusion ModelsCode0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography0
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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