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 27912800 of 7282 papers

TitleStatusHype
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement0
Cross-conditioned Diffusion Model for Medical Image to Image Translation0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning0
FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images0
Assessing the Impact of Deep Neural Network-based Image Denoising on Binary Signal Detection Tasks0
A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement0
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint0
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs0
FaceShield: Defending Facial Image against Deepfake Threats0
Correction by Projection: Denoising Images with Generative Adversarial Networks0
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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