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 17611770 of 7282 papers

TitleStatusHype
CWGAN-GP Augmented CAE for Jamming Detection in 5G-NR in Non-IID Datasets0
A Real-time Endoscopic Image Denoising System0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
Optimization-Based Image Restoration under Implementation Constraints in Optical Analog Circuits0
Demonstrating Superresolution in Radar Range Estimation Using a Denoising Autoencoder0
Exploring Diffusion with Test-Time Training on Efficient Image Restoration0
Cost-Aware Routing for Efficient Text-To-Image Generation0
DiffusionBlocks: Blockwise Training for Generative Models via Score-Based Diffusion0
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate DiffusionCode0
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments0
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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