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 50615070 of 7282 papers

TitleStatusHype
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns0
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis0
Towards Unsupervised Speech-to-Text Translation0
Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging0
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds0
Moment Transform-Based Compressive Sensing in Image Processing0
Momentum-Net for Low-Dose CT Image Reconstruction0
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver0
Monocular Depth Estimation using Diffusion Models0
Toward Universal Speech Enhancement for Diverse Input Conditions0
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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