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 10111020 of 7282 papers

TitleStatusHype
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion ModelCode1
Protein Design with Guided Discrete DiffusionCode1
Diffusion Model for Dense MatchingCode1
Nested Diffusion Processes for Anytime Image GenerationCode1
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative ModelingCode1
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio GenerationCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
On Diffusion Modeling for Anomaly DetectionCode1
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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