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 38813890 of 7282 papers

TitleStatusHype
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models0
Fréchet regression with implicit denoising and multicollinearity reduction0
A fast patch-dictionary method for whole image recovery0
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser0
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning0
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process0
A Faster Patch Ordering Method for Image Denoising0
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention0
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing0
FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model0
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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