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 30913100 of 7282 papers

TitleStatusHype
Wavelet-based Topological Loss for Low-Light Image Denoising0
Dual-Camera Joint Deblurring-Denoising0
Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation0
A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising0
Hyperspectral Image Denoising via Self-Modulating Convolutional Neural NetworksCode0
Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models0
Masked Diffusion with Task-awareness for Procedure Planning in Instructional VideosCode0
Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior EnhancementCode1
Complexity Scaling for Speech Denoising0
Beta DiffusionCode1
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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