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 44314440 of 7282 papers

TitleStatusHype
Independent finite approximations for Bayesian nonparametric inference0
Independent versus truncated finite approximations for Bayesian nonparametric inference0
A Diffusion-based Method for Multi-turn Compositional Image Generation0
The last Dance : Robust backdoor attack via diffusion models and bayesian approach0
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions0
Inference in Graphical Models via Semidefinite Programming Hierarchies0
Inference of Network Summary Statistics Through Network Denoising0
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps0
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing0
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion0
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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