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 18711880 of 7282 papers

TitleStatusHype
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms0
Analysis and Extension of Noisy-target Training for Unsupervised Target Signal Enhancement0
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions0
Denoising Multi-modal Sequential Recommenders with Contrastive Learning0
Denoising Improves Latent Space Geometry in Text Autoencoders0
Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning0
Denoising Nearest Neighbor Graph via Continuous CRF for Visual Re-ranking without Fine-tuning0
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection0
Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator0
Denoising Imaging Polarimetry by an Adapted BM3D Method0
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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