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 1701–1750 of 7282 papers

TitleStatusHype
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
Joint Frequency and Image Space Learning for MRI Reconstruction and AnalysisCode1
Joint Graph Rewiring and Feature Denoising via Spectral ResonanceCode1
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image DatasetCode1
Probabilistic Noise2Void: Unsupervised Content-Aware DenoisingCode1
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video ParsingCode1
Joint self-supervised blind denoising and noise estimationCode1
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
Denoising and Prompt-Tuning for Multi-Behavior RecommendationCode1
An Evaluation of Deep Learning Models for Stock Market Trend PredictionCode1
KAE: Kolmogorov-Arnold Auto-Encoder for Representation LearningCode1
k-Space Deep Learning for Accelerated MRICode1
Knowledge Distillation in Iterative Generative Models for Improved Sampling SpeedCode1
Denoising Adversarial AutoencodersCode1
Knowledge-refined Denoising Network for Robust RecommendationCode1
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image ReconstructionCode1
Mixed noise reduction via sparse error constraint representation of high frequency image for wildlife imageCode1
Modeling Deep Learning Based Privacy Attacks on Physical MailCode1
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category DetectionCode1
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance MatchingCode1
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech EnhancementCode1
Multi-View Learning with Context-Guided Receptance for Image DenoisingCode1
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language ModelsCode1
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionCode1
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising AutoencodersCode1
A Neural Network for SemigroupsCode0
MicroSSIM: Improved Structural Similarity for Comparing Microscopy DataCode0
Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion ModelCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser NetworkCode0
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory PredictionCode0
Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform InitializationCode0
Burst Denoising with Kernel Prediction NetworksCode0
An End-to-End Compression Framework Based on Convolutional Neural NetworksCode0
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation ModelsCode0
MFTF: Mask-free Training-free Object Level Layout Control Diffusion ModelCode0
Missing Data Imputation with Adversarially-trained Graph Convolutional NetworksCode0
An Encoder-Decoder Approach to the Paradigm Cell Filling ProblemCode0
Mesh Denoising with Facet Graph ConvolutionsCode0
Building 3D In-Context Learning Universal Model in NeuroimagingCode0
An empirical study on the effects of different types of noise in image classification tasksCode0
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-ExplorationCode0
Multi-Stage Speaker Diarization for Noisy ClassroomsCode0
BSS-CFFMA: Cross-Domain Feature Fusion and Multi-Attention Speech Enhancement Network based on Self-Supervised EmbeddingCode0
An Empirical Review of Adversarial DefensesCode0
Metaphor Detection with Effective Context DenoisingCode0
BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial NetworkCode0
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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