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 711720 of 7282 papers

TitleStatusHype
CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRs0
NeuroAMP: A Novel End-to-end General Purpose Deep Neural Amplifier for Personalized Hearing Aids0
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion0
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning0
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
Classifier-free Guidance with Adaptive ScalingCode1
OptimOTU: Taxonomically aware OTU clustering with optimized thresholds and a bioinformatics workflow for metabarcoding data0
Residual Transformer Fusion Network for Salt and Pepper Image Denoising0
Unleashing the Power of Large Language Model for Denoising Recommendation0
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization0
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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