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 211220 of 7282 papers

TitleStatusHype
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionCode2
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image GenerationCode2
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningCode2
Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency LossCode2
Diffusion Models in Vision: A SurveyCode2
A Geometric Perspective on Diffusion ModelsCode2
Diffusion models as plug-and-play priorsCode2
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising DiffusionCode2
Generative AI for Medical Imaging: extending the MONAI FrameworkCode2
Diffusion Predictive Control with ConstraintsCode2
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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