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 881890 of 7282 papers

TitleStatusHype
A Mixture-Based Framework for Guiding Diffusion ModelsCode1
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising TransformerCode1
A Continuous Time Framework for Discrete Denoising ModelsCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
High-Frequency Space Diffusion Models for Accelerated MRICode1
High Perceptual Quality Image Denoising with a Posterior Sampling CGANCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
DiffSim: Taming Diffusion Models for Evaluating Visual SimilarityCode1
Denoising Lévy Probabilistic ModelsCode1
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude EstimationCode1
Show:102550
← PrevPage 89 of 729Next →

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