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 18511860 of 7282 papers

TitleStatusHype
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
Mesh Denoising with Facet Graph ConvolutionsCode0
Metaphor Detection with Effective Context DenoisingCode0
Denoising Diffusion-Based Control of Nonlinear SystemsCode0
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal TractCode0
LIDIA: Lightweight Learned Image Denoising with Instance AdaptationCode0
Denoising Deep Generative ModelsCode0
Low Frequency Adversarial PerturbationCode0
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse CodingCode0
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete DiffusionCode0
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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