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 16111620 of 7282 papers

TitleStatusHype
Lite Audio-Visual Speech EnhancementCode1
Exploring the Loss Landscape in Neural Architecture SearchCode1
Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise SuppressionCode1
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View SynthesisCode1
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
Adaptive Differential Denoising for Respiratory Sounds ClassificationCode1
Hybrid Spectral Denoising Transformer with Guided AttentionCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
LIPT: Latency-aware Image Processing TransformerCode1
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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