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 6726–6750 of 7282 papers

TitleStatusHype
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMsCode0
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and ReviewCode0
Noise Adaption Network for Morse Code Image ClassificationCode0
Noise as Domain Shift: Denoising Medical Images by Unpaired Image TranslationCode0
Predicting distributions with Linearizing Belief NetworksCode0
LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude EstimationCode0
Noise-aware Physics-informed Machine Learning for Robust PDE DiscoveryCode0
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
HDRUNet: Single Image HDR Reconstruction with Denoising and DequantizationCode0
Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNetCode0
Unsupervised Image Restoration Using Partially Linear DenoisersCode0
DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise CleaningCode0
Lifting Layers: Analysis and ApplicationsCode0
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation LearningCode0
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint GraphsCode0
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational AutoencoderCode0
Heavy-tailed denoising score matchingCode0
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented DialogCode0
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty QuantificationCode0
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation DatasetCode0
RF-Based Direction Finding of UAVs Using DNNCode0
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion ModelsCode0
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social ConversationsCode0
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and SignalsCode0
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear InterpolationCode0
Show:102550
← PrevPage 270 of 292Next →
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