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 14911500 of 7282 papers

TitleStatusHype
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models0
Joint Localization and Planning using Diffusion0
AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status0
Stable Video Portraits0
Enhancing Recommendation with Denoising Auxiliary Task0
Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration0
Denoising Graph Super-Resolution towards Improved Collider Event ReconstructionCode0
ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion ModelsCode0
Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial0
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain0
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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