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 26012610 of 7282 papers

TitleStatusHype
A CT Image Denoising Method Based on Projection Domain Feature0
Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion0
Echocardiography to Cardiac MRI View Transformation for Real-Time Blind Restoration0
Diverse Score Distillation0
CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction0
BudgetFusion: Perceptually-Guided Adaptive Diffusion Models0
Tiny Object Detection with Single Point Supervision0
Accelerating Video Diffusion Models via Distribution Matching0
3D-Consistent Image Inpainting with Diffusion Models0
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set 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