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 3601–3650 of 7282 papers

TitleStatusHype
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference -- Application to pulsar observations—0
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach—0
A unified framework of non-local parametric methods for image denoising—0
An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning—0
Transformer-based Learned Image Compression for Joint Decoding and Denoising—0
The Uncanny Valley: A Comprehensive Analysis of Diffusion Models—0
Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference—0
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras—0
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling—0
Human Video Translation via Query Warping—0
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models—0
Image Denoising with Machine Learning: A Novel Approach to Improve Quantum Image Processing Quality and Reliability—0
Learning by Reconstruction Produces Uninformative Features For Perception—0
Where is the answer? Investigating Positional Bias in Language Model Knowledge ExtractionCode0
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model—0
Classification Diffusion Models: Revitalizing Density Ratio Estimation—0
Fast Window-Based Event Denoising with Spatiotemporal Correlation Enhancement—0
DestripeCycleGAN: Stripe Simulation CycleGAN for Unsupervised Infrared Image DestripingCode0
Patch-based adaptive temporal filter and residual evaluation—0
Target Score Matching—0
PFCM: Poisson flow consistency models for low-dose CT image denoising—0
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models—0
Benchmarking multi-component signal processing methods in the time-frequency planeCode0
Denoising Diffusion Restoration Tackles Forward and Inverse Problems for the Laplace Operator—0
Re-DiffiNet: Modeling discrepancies in tumor segmentation using diffusion modelsCode0
Rolling Diffusion Models—0
Computationally efficient reductions between some statistical models—0
Inference Stage Denoising for Undersampled MRI ReconstructionCode0
An attempt to generate new bridge types from latent space of denoising diffusion Implicit modelCode0
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs—0
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model—0
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth—0
Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration—0
Denoising Diffusion Probabilistic Models in Six Simple Steps—0
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models—0
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting—0
Context-Aware Automated Passenger Counting Data Denoising—0
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells—0
DexDiffuser: Generating Dexterous Grasps with Diffusion Models—0
Denoising Diffusion via Image-Based Rendering—0
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising—0
A Lennard-Jones Layer for Distribution Normalization—0
The last Dance : Robust backdoor attack via diffusion models and bayesian approach—0
Denoising Time Cycle Modeling for Recommendation—0
DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication—0
Denoising Diffusion-Based Control of Nonlinear SystemsCode0
Decomposition-based and Interference Perception for Infrared and Visible Image Fusion in Complex Scenes—0
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization—0
Code Representation Learning At Scale—0
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?—0
Show:102550
← PrevPage 73 of 146Next →
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