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 17511760 of 7282 papers

TitleStatusHype
Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound0
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI0
Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models0
Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise0
Denoising Long- and Short-term Interests for Sequential Recommendation0
Deep Learning CT Image Restoration using System Blur and Noise Models0
RGB2Point: 3D Point Cloud Generation from Single RGB Images0
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models0
BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial NetworkCode0
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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