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 2401–2450 of 7282 papers

TitleStatusHype
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-ClassificationCode0
CONCORD: Concept-Informed Diffusion for Dataset DistillationCode0
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and SemanticsCode0
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision LocalizationCode0
Improved Diffusion-based Generative Model with Better Adversarial RobustnessCode0
ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion ModelsCode0
Dynamic Negative Guidance of Diffusion ModelsCode0
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular DynamicsCode0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
Dynamic Importance in Diffusion U-Net for Enhanced Image SynthesisCode0
Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomyCode0
Implicit 3D Orientation Learning for 6D Object Detection from RGB ImagesCode0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
Advancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imagingCode0
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence LabelingCode0
Image-to-Image MLP-mixer for Image ReconstructionCode0
DVDnet: A Fast Network for Deep Video DenoisingCode0
Image Segmentation by Iterative Inference from Conditional Score EstimationCode0
D-VDAMP: Denoising-based Approximate Message Passing for Compressive MRICode0
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip ConnectionsCode0
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone ApproachCode0
Implicit Image-to-Image Schrodinger Bridge for Image RestorationCode0
Inexact Derivative-Free Optimization for Bilevel LearningCode0
Image quality measurements and denoising using Fourier Ring CorrelationsCode0
Image Reconstruction with Predictive Filter FlowCode0
Image Embedding for Denoising Generative ModelsCode0
Image Denoising with Graph-Convolutional Neural NetworksCode0
Image Fusion via Sparse Regularization with Non-Convex PenaltiesCode0
Approximate Bayesian Computation with the Sliced-Wasserstein DistanceCode0
Image Denoising with Control over Deep Network HallucinationCode0
Image Inpainting via Tractable Steering of Diffusion ModelsCode0
Image denoising using complex-valued deep CNNCode0
Image denoising using deep CNN with batch renormalizationCode0
Compression Artifacts Reduction by a Deep Convolutional NetworkCode0
Image Blind Denoising Using Dual Convolutional Neural Network with Skip ConnectionCode0
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast MammographyCode0
Dual Caption Preference Optimization for Diffusion ModelsCode0
IIDM: Image-to-Image Diffusion Model for Semantic Image SynthesisCode0
IFH: a Diffusion Framework for Flexible Design of Graph Generative ModelsCode0
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRICode0
Identity Enhanced Residual Image DenoisingCode0
Imaging at the quantum limit with convolutional neural networksCode0
Dynamic Feature Acquisition Using Denoising AutoencodersCode0
Compressed Sensing: A Discrete Optimization ApproachCode0
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic ForgettingCode0
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in HistopathologyCode0
Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image PriorCode0
Composite Reward Design in PPO-Driven Adaptive FilteringCode0
Hyperspectral Mixed Noise Removal By L1-Norm-Based Subspace RepresentationCode0
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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