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 11411150 of 7282 papers

TitleStatusHype
Unsupervised Out-of-Distribution Detection with Diffusion InpaintingCode1
Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scansCode1
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be ConsistentCode1
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule GenerationCode1
Boundary Guided Learning-Free Semantic Control with Diffusion ModelsCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Robust Unsupervised StyleGAN Image RestorationCode1
Denoising and Prompt-Tuning for Multi-Behavior RecommendationCode1
Star-Shaped Denoising Diffusion Probabilistic ModelsCode1
Better Diffusion Models Further Improve Adversarial TrainingCode1
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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