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 18311840 of 7282 papers

TitleStatusHype
Manifold Denoising by Nonlinear Robust Principal Component AnalysisCode0
Denoising Diffusion Probabilistic Models as a Defense against Adversarial AttacksCode0
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy TrainingCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-RatesCode0
Bilevel Learning with Inexact Stochastic GradientsCode0
Magicremover: Tuning-free Text-guided Image inpainting with Diffusion ModelsCode0
Denoising Distantly Supervised Open-Domain Question AnsweringCode0
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceCode0
Magnetogram-to-Magnetogram: Generative Forecasting of Solar EvolutionCode0
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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