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 831840 of 7282 papers

TitleStatusHype
Controlling Latent Diffusion Using Latent CLIPCode1
Denoising Task Routing for Diffusion ModelsCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
A cross Transformer for image denoisingCode1
Artifact Restoration in Histology Images with Diffusion Probabilistic ModelsCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based PenaltiesCode1
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian PortugueseCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
4DenoiseNet: Adverse Weather Denoising from Adjacent Point CloudsCode1
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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