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 23412350 of 7282 papers

TitleStatusHype
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification0
ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos0
MD-Dose: A diffusion model based on the Mamba for radiation dose predictionCode1
eDifFIQA: Towards Efficient Face Image Quality Assessment Based On Denoising Diffusion Probabilistic ModelsCode1
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionCode2
Interpreting What Typical Fault Signals Look Like via Prototype-matching0
Boosting Image Restoration via Priors from Pre-trained Models0
PCLD: Point Cloud Layerwise Diffusion for Adversarial PurificationCode0
Active Generation for Image ClassificationCode0
TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance0
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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