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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1776–1800 of 7282 papers

TitleStatusHype
Bridge the Gap between SNN and ANN for Image Restoration—0
BridgeNets: Student-Teacher Transfer Learning Based on Recursive Neural Networks and its Application to Distant Speech Recognition—0
A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids—0
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation—0
Brick-Diffusion: Generating Long Videos with Brick-to-Wall Denoising—0
Bregman Plug-and-Play Priors—0
An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging—0
Bregman Iteration for Correspondence Problems: A Study of Optical Flow—0
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis—0
An Effective Fusion Method to Enhance the Robustness of CNN—0
MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation—0
Addressing Negative Transfer in Diffusion Models—0
Brain-Driven Representation Learning Based on Diffusion Model—0
BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment—0
An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture—0
Accelerating Video Diffusion Models via Distribution Matching—0
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance—0
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images—0
An Attention Free Conditional Autoencoder For Anomaly Detection in Cryptocurrencies—0
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak—0
Diffusion-Based Adversarial Purification for Speaker Verification—0
Boundary Matters: A Bi-Level Active Finetuning Framework—0
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study—0
Accelerating Mobile Edge Generation (MEG) by Constrained Learning—0
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified