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 40414050 of 7282 papers

TitleStatusHype
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function0
Light Field Diffusion for Single-View Novel View Synthesis0
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement0
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models0
Self2Seg: Single-Image Self-Supervised Joint Segmentation and DenoisingCode0
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context0
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising0
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
Joint Demosaicing and Denoising with Double Deep Image Priors0
Gradpaint: Gradient-Guided Inpainting with Diffusion Models0
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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