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 21712180 of 7282 papers

TitleStatusHype
Adaptively Denoising Proposal Collection forWeakly Supervised Object Localization0
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning0
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis0
A Massive MIMO Sampling Detection Strategy Based on Denoising Diffusion Model0
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism0
DENOASR: Debiasing ASRs through Selective Denoising0
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding0
Demonstrating Superresolution in Radar Range Estimation Using a Denoising Autoencoder0
A Mask-Based Adversarial Defense Scheme0
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT0
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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