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 4626–4650 of 7282 papers

TitleStatusHype
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views—0
Polarized Color Image Denoising—0
Hair and Scalp Disease Detection using Machine Learning and Image Processing—0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
Blind Restoration of Real-World Audio by 1D Operational GANsCode0
Image Embedding for Denoising Generative ModelsCode0
S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning—0
ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight ConditionsCode0
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models—0
Group Sparse Coding for Image Denoising—0
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise—0
Audio Denoising for Robust Audio Fingerprinting—0
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks—0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
Sophisticated deep learning with on-chip optical diffractive tensor processing—0
SimpleStyle: An Adaptable Style Transfer Approach—0
GanLM: Encoder-Decoder Pre-training with an Auxiliary DiscriminatorCode0
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
Mu^2SLAM: Multitask, Multilingual Speech and Language Models—0
Learning-Based Reconstruction of FRI SignalsCode0
Single Frame Laser Diode Photoacoustic Imaging: Denoising and Reconstruction—0
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management—0
fMRI-based Static and Dynamic Functional Connectivity Analysis for Post-stroke Motor Dysfunction Patient: A Review—0
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units—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