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 351360 of 7282 papers

TitleStatusHype
Training Diffusion Models with Reinforcement LearningCode2
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized AttentionCode2
Denoising Diffusion Models for Plug-and-Play Image RestorationCode2
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency ModelCode2
DocDiff: Document Enhancement via Residual Diffusion ModelsCode2
Collaborative Diffusion for Multi-Modal Face Generation and EditingCode2
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion ModelsCode2
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsCode2
InterGen: Diffusion-based Multi-human Motion Generation under Complex InteractionsCode2
Diffusion Recommender ModelCode2
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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