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 46314640 of 7282 papers

TitleStatusHype
Latent Diffusion Model for Generating Ensembles of Climate Simulations0
Latent diffusion models for parameterization and data assimilation of facies-based geomodels0
Time Series Language Model for Descriptive Caption Generation0
Latent Painter0
Latent Space Characterization of Autoencoder Variants0
A deep learning framework for segmentation of retinal layers from OCT images0
LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation0
Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free0
Latent Weight Diffusion: Generating reactive policies instead of trajectories0
LatexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending0
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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