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 27812790 of 7282 papers

TitleStatusHype
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting0
Refined Risk Bounds for Unbounded Losses via Transductive Priors0
Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images0
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft AssignmentCode0
Class-Aware Contrastive Optimization for Imbalanced Text Classification0
RDSinger: Reference-based Diffusion Network for Singing Voice Synthesis0
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation0
Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of ConceptCode0
On Inductive Biases That Enable Generalization of Diffusion TransformersCode0
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!0
Show:102550
← PrevPage 279 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