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 941950 of 7282 papers

TitleStatusHype
LTX-Video: Realtime Video Latent DiffusionCode9
Quantum Diffusion Model for Quark and Gluon Jet GenerationCode0
Edicho: Consistent Image Editing in the WildCode2
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing ControlCode2
"Generative Models for Financial Time Series Data: Enhancing Signal-to-Noise Ratio and Addressing Data Scarcity in A-Share Market0
Single-image reflection removal via self-supervised diffusion models0
MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation0
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling0
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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