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 45414550 of 7282 papers

TitleStatusHype
Restoration based Generative ModelsCode0
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis0
One-Pot Multi-Frame Denoising0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE0
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion0
Low Latency Video Denoising for Online Conferencing Using CNN Architectures0
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI0
Adversarial Contrastive Distillation with Adaptive Denoising0
DeepSpace: Dynamic Spatial and Source Cue Based Source Separation for Dialog Enhancement0
Explicit Diffusion of Gaussian Mixture Model Based Image Priors0
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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