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 10111020 of 7282 papers

TitleStatusHype
A Conditional Diffusion Model for Electrical Impedance Tomography Image ReconstructionCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
C2N: Practical Generative Noise Modeling for Real-World DenoisingCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
Generalized Consistency Trajectory Models for Image ManipulationCode1
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
A Neural-Network-Based Convex Regularizer for Inverse ProblemsCode1
AR-DAE: Towards Unbiased Neural Entropy Gradient EstimationCode1
Adversarial Counterfactual Visual ExplanationsCode1
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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