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 911920 of 7282 papers

TitleStatusHype
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
Denoising-Aware Contrastive Learning for Noisy Time SeriesCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
Adversarial purification with Score-based generative modelsCode1
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder ArchitectureCode1
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
bit2bit: 1-bit quanta video reconstruction via self-supervised photon predictionCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
A Continuous Time Framework for Discrete Denoising ModelsCode1
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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