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 22312240 of 7282 papers

TitleStatusHype
A survey of probabilistic generative frameworks for molecular simulationsCode0
Interspeech 2021 Deep Noise Suppression ChallengeCode0
Invariant Risk Minimization Is A Total Variation ModelCode0
A Structure-Guided Diffusion Model for Large-Hole Image CompletionCode0
Interacting Diffusion Processes for Event Sequence ForecastingCode0
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced ErrorCode0
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy DataCode0
Instance Regularization for Discriminative Language Model Pre-trainingCode0
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal RepresentationCode0
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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