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

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Showing 1911–1920 of 7282 papers

TitleStatusHype
Denoising Hamiltonian Network for Physical Reasoning—0
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data—0
An Analysis on Quantizing Diffusion Transformers—0
Denoising Task Difficulty-based Curriculum for Training Diffusion Models—0
Denoising guarantees for optimized sampling schemes in compressed sensing—0
Denoising Text to Speech with Frame-Level Noise Modeling—0
Denoising Time Cycle Modeling for Recommendation—0
Denoising Time Series Data Using Asymmetric Generative Adversarial Networks—0
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation—0
Analysing Diffusion Segmentation for Medical Images—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified