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 10211030 of 7282 papers

TitleStatusHype
Conditional score-based diffusion models for Bayesian inference in infinite dimensionsCode1
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023Code1
Knowledge Diffusion for DistillationCode1
UDPM: Upsampling Diffusion Probabilistic ModelsCode1
NAP: Neural 3D Articulation PriorCode1
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
Are Diffusion Models Vision-And-Language Reasoners?Code1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
Parallel Sampling of Diffusion ModelsCode1
A Neural Space-Time Representation for Text-to-Image PersonalizationCode1
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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