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 37213730 of 7282 papers

TitleStatusHype
AMC-Net: An Effective Network for Automatic Modulation Classification0
-Diff: Infinite Resolution Diffusion with Subsampled Mollified StatesCode1
Diffusion Action SegmentationCode1
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning0
Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based ApproachCode1
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature RepresentationsCode1
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference0
Masked Autoencoders as Image ProcessorsCode1
DDP: Diffusion Model for Dense Visual PredictionCode2
HDR Imaging with Spatially Varying Signal-to-Noise Ratios0
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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