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 41–50 of 7282 papers

TitleStatusHype
Diffusion Model-Based Image Editing: A SurveyCode4
Cameras as Rays: Pose Estimation via Ray DiffusionCode4
AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video DataCode4
InstructIR: High-Quality Image Restoration Following Human InstructionsCode4
DiffBIR: Towards Blind Image Restoration with Generative Diffusion PriorCode4
VideoFusion: Decomposed Diffusion Models for High-Quality Video GenerationCode4
FSID: Fully Synthetic Image Denoising via Procedural Scene GenerationCode4
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelCode4
DiffusionDet: Diffusion Model for Object DetectionCode4
Diffusion Models for Medical Image Analysis: A Comprehensive SurveyCode4
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified