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

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Showing 4401–4450 of 7282 papers

TitleStatusHype
Non-Contact Heart Rate Measurement from Deteriorated Videos—0
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis—0
Deep sound-field denoiser: optically-measured sound-field denoising using deep neural networkCode0
Single-View Height Estimation with Conditional Diffusion Probabilistic Models—0
The Score-Difference Flow for Implicit Generative Modeling—0
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled DataCode0
NoiseTrans: Point Cloud Denoising with Transformers—0
Conditional Denoising Diffusion for Sequential Recommendation—0
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis—0
Heart Rate Extraction from Abdominal Audio Signals—0
H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization—0
An Attention Free Conditional Autoencoder For Anomaly Detection in Cryptocurrencies—0
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network—0
Denoising Diffusion Medical Models—0
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning—0
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems—0
Unsupervised Image Denoising with Score Function—0
Fault Tolerant FPGA Implementation on Redundancy Techniques and ECG Denoising—0
HandCT: hands-on computational dataset for X-Ray Computed Tomography and Machine-Learning—0
ASIC Implementation of Denoising Filters for Pacemakers—0
Delta Denoising Score—0
Towards Controllable Diffusion Models via Reward-Guided Exploration—0
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding—0
EWT: Efficient Wavelet-Transformer for Single Image Denoising—0
Survey on LiDAR Perception in Adverse Weather Conditions—0
Discovering Structure From Corruption for Unsupervised Image Reconstruction—0
A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT DenoisingCode0
Inhomogeneous graph trend filtering via a l2,0 cardinality penalty—0
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion—0
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval—0
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction—0
On The Application Of Log Compression and Enhanced Denoising In Contrast Enhancement Of Digital Radiography Images—0
SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement—0
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic ImagingCode0
ChiroDiff: Modelling chirographic data with Diffusion Models—0
Diffusion Models as Masked AutoencodersCode0
Boundary-Denoising for Video Activity LocalizationCode0
Spike Stream Denoising via Spike Camera Simulation—0
Self-Supervised Siamese Autoencoders—0
A Diffusion-based Method for Multi-turn Compositional Image Generation—0
Mixed Regression via Approximate Message Passing—0
Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer—0
Image Blind Denoising Using Dual Convolutional Neural Network with Skip ConnectionCode0
DCANet: Dual Convolutional Neural Network with Attention for Image Blind DenoisingCode0
ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis—0
Generative Diffusion Prior for Unified Image Restoration and Enhancement—0
Denoising of discrete-time chaotic signals using echo state networks—0
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document GenerationCode0
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver—0
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models—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