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 11411150 of 7282 papers

TitleStatusHype
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Denoising MCMC for Accelerating Diffusion-Based Generative ModelsCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
Denoising Masked AutoEncoders Help Robust ClassificationCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Denoising Multi-Source Weak Supervision for Neural Text ClassificationCode1
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural NetworkCode1
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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