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 3176–3200 of 7282 papers

TitleStatusHype
Semi-Implicit Variational Inference via Score MatchingCode0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement—0
Denoising Diffusion for 3D Hand Pose Estimation from Images—0
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentationCode1
Far3D: Expanding the Horizon for Surround-view 3D Object DetectionCode1
Language-Guided Diffusion Model for Visual GroundingCode0
Synergistic Signal Denoising for Multimodal Time Series of Structure Vibration—0
Watch Your Steps: Local Image and Scene Editing by Text Instructions—0
Learning A Coarse-to-Fine Diffusion Transformer for Image RestorationCode1
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
Denoising Diffusion Probabilistic Model for Retinal Image Generation and SegmentationCode1
Self-Reference Deep Adaptive Curve Estimation for Low-Light Image EnhancementCode1
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation—0
Dynamic Attention-Guided Diffusion for Image Super-Resolution—0
VBD-MT Chinese-Vietnamese Translation Systems for VLSP 2022—0
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
PGT-Net: Progressive Guided Multi-task Neural Network for Small-area Wet Fingerprint Denoising and Recognition—0
DiffSED: Sound Event Detection with Denoising Diffusion—0
Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid—0
Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic modelCode0
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial BranchesCode1
Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT DenoisingCode0
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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