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 42314240 of 7282 papers

TitleStatusHype
Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models0
Hierarchical Attention Diffusion Networks with Object Priors for Video Change Detection0
NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model0
Novel View Extrapolation with Video Diffusion Priors0
Novel View Synthesis with Diffusion Models0
N-SfC: Robust and Fast Shape Estimation from Caustic Images0
NS-Hunter: BERT-Cloze Based Semantic Denoising for Distantly Supervised Relation Classification0
Enhancing and Learning Denoiser without Clean Reference0
NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge0
Nuclear Norm Regularization for Deep Learning0
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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