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 45114520 of 7282 papers

TitleStatusHype
Improving Audio-Visual Video Parsing with Pseudo Visual Labels0
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT0
Dataset Creation Pipeline for Camera-Based Heart Rate Estimation0
Error mitigation of entangled states using brainbox quantum autoencoders0
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption0
Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT0
Mixture of Soft Prompts for Controllable Data GenerationCode0
Diffusion Probabilistic Fields0
Cloud K-SVD for Image DenoisingCode0
Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation0
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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