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 971980 of 7282 papers

TitleStatusHype
Image Denoising and the Generative Accumulation of PhotonsCode1
Geometric Neural Diffusion ProcessesCode1
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and EnsemblingCode1
Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic ModelCode1
Unsupervised 3D out-of-distribution detection with latent diffusion modelsCode1
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse DiffusionCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph GenerationCode1
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion ModelsCode1
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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