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 2626–2650 of 7282 papers

TitleStatusHype
A Survey on Deep learning based Document Image Enhancement—0
Feature Graph Learning for 3D Point Cloud Denoising—0
Feature-guided score diffusion for sampling conditional densities—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation—0
A General Unified Graph Neural Network Framework Against Adversarial Attacks—0
Ctrl-Z Sampling: Diffusion Sampling with Controlled Random Zigzag Explorations—0
A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual Quality—0
Active Tuning—0
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction—0
CT Image Denoising with Perceptive Deep Neural Networks—0
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis—0
CS-PCN: Context-Space Progressive Collaborative Network for Image Denoising—0
A Study of Shape Modeling Against Noise—0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks—0
Deep Message Passing on Sets—0
Feature Learning from Incomplete EEG with Denoising Autoencoder—0
CSI-PPPNet: A One-Sided One-for-All Deep Learning Framework for Massive MIMO CSI Feedback—0
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification—0
CSI-fingerprinting Indoor Localization via Attention-Augmented Residual Convolutional Neural Network—0
Astronomical Image Denoising Using Dictionary Learning—0
Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation—0
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps—0
Multi-Sentence Grounding for Long-term Instructional Video—0
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery—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