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 17911800 of 7282 papers

TitleStatusHype
Accelerating Video Diffusion Models via Distribution Matching0
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance0
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images0
An Attention Free Conditional Autoencoder For Anomaly Detection in Cryptocurrencies0
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak0
Diffusion-Based Adversarial Purification for Speaker Verification0
Boundary Matters: A Bi-Level Active Finetuning Framework0
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study0
Accelerating Mobile Edge Generation (MEG) by Constrained Learning0
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog0
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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