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 13311340 of 7282 papers

TitleStatusHype
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score MatchingCode1
INCODE: Implicit Neural Conditioning with Prior Knowledge EmbeddingsCode1
Civil Rephrases Of Toxic Texts With Self-Supervised TransformersCode1
Diffusion Suction Grasping with Large-Scale Parcel DatasetCode1
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
Deep Audio Waveform PriorCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct SupervisionCode1
Information-Theoretic DiffusionCode1
Intelligent Painter: Picture Composition With Resampling Diffusion ModelCode1
Show:102550
← PrevPage 134 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