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 44914500 of 7282 papers

TitleStatusHype
Phase retrieval with physics informed zero-shot learning0
Phase Transitions in Image Denoising via Sparsely Coding Convolutional Neural Networks0
P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising0
Phoenix: A Federated Generative Diffusion Model0
Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation0
Phrase-Based \& Neural Unsupervised Machine Translation0
PhysDiff: Physics-Guided Human Motion Diffusion Model0
Physics-assisted Deep Learning for FMCW Radar Quantitative Imaging of Two-dimension Target0
Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising0
Physics-aware Hand-object Interaction Denoising0
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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