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 17011725 of 7282 papers

TitleStatusHype
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion ModelsCode1
Soundini: Sound-Guided Diffusion for Natural Video EditingCode1
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-LabelingCode1
Adaptive Graph Contrastive Learning for RecommendationCode1
Sparse Coding with Multi-Layer Decoders using Variance RegularizationCode1
Spatial-Adaptive Network for Single Image DenoisingCode1
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth DenoisingCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
Probabilistic Noise2Void: Unsupervised Content-Aware DenoisingCode1
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
spectrai: A deep learning framework for spectral dataCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
Denoising Diffusion Post-Processing for Low-Light Image EnhancementCode1
Speech Denoising with Deep Feature LossesCode1
Speech Denoising Without Clean Training Data: A Noise2Noise ApproachCode1
An Evaluation of Deep Learning Models for Stock Market Trend PredictionCode1
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded LibrariesCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion ModelCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech EnhancementCode1
Digging into contrastive learning for robust depth estimation with diffusion modelsCode1
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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