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 11311140 of 7282 papers

TitleStatusHype
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot ClassificationCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
CLIP-Diffusion-LM: Apply Diffusion Model on Image CaptioningCode1
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural NetworkCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIPCode1
Denoising Multi-Source Weak Supervision for Neural Text ClassificationCode1
Denoising Normalizing FlowCode1
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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