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 4401–4425 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
Show:102550
← PrevPage 177 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