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 44214430 of 7282 papers

TitleStatusHype
PanoWan: Lifting Diffusion Video Generation Models to 360° with Latitude/Longitude-aware Mechanisms0
PARADISE”:" Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining0
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions0
Parameter Learning for Log-supermodular Distributions0
Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR)0
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction0
ULF: Cross-Validation for Weak Supervision0
Parsimonious Labeling0
PartDiff: Image Super-resolution with Partial Diffusion Models0
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference0
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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