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 29712980 of 7282 papers

TitleStatusHype
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image DenoisingCode1
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys0
Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal CellsCode0
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework DesignCode1
Provable Probabilistic Imaging using Score-Based Generative PriorsCode1
A cross Transformer for image denoisingCode1
Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph EmbeddingCode0
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner0
Discovery and Expansion of New Domains within Diffusion Models0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection0
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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