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 13711380 of 7282 papers

TitleStatusHype
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning0
Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement0
Feature-guided score diffusion for sampling conditional densities0
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM0
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion ModelsCode0
Fast Local Neural Regression for Low-Cost, Path Traced Lambertian Global Illumination0
On the Effectiveness of Dataset Alignment for Fake Image DetectionCode1
Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method0
Language Model Preference Evaluation with Multiple Weak EvaluatorsCode0
Data-Aware Training Quality Monitoring and Certification for Reliable Deep LearningCode0
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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