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 801810 of 7282 papers

TitleStatusHype
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Enhancing MMDiT-Based Text-to-Image Models for Similar Subject GenerationCode1
Entity-Level Text-Guided Image ManipulationCode1
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationCode1
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise ToleranceCode1
Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion ModelsCode1
Adaptive Differential Denoising for Respiratory Sounds ClassificationCode1
Explaining generative diffusion models via visual analysis for interpretable decision-making processCode1
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsCode1
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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