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 1651–1700 of 7282 papers

TitleStatusHype
Denoise and Contrast for Category Agnostic Shape CompletionCode1
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce ClassificationCode1
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional NetworksCode1
A zero-inflated gamma model for deconvolved calcium imaging tracesCode1
DenoiSeg: Joint Denoising and SegmentationCode1
DENet: a deep architecture for audio surveillance applicationsCode1
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image ReconstructionCode1
MECG-E: Mamba-based ECG Enhancer for Baseline Wander RemovalCode1
Microscopy image reconstruction with physics-informed denoising diffusion probabilistic modelCode1
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded LibrariesCode1
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time StepsCode1
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot LearningCode1
Accelerated MRI with Un-trained Neural NetworksCode1
A deep network for sinogram and CT image reconstructionCode1
Accurate Image Restoration with Attention Retractable TransformerCode1
Can LLMs be Good Graph Judge for Knowledge Graph Construction?Code1
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech EnhancementCode1
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam SearchCode1
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic ScenesCode1
3D Brain and Heart Volume Generative Models: A SurveyCode1
Information-Theoretic DiffusionCode1
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron TomographyCode1
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic ModelingCode1
-Diff: Infinite Resolution Diffusion with Subsampled Mollified StatesCode1
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?Code1
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transformCode1
MatchDiffusion: Training-free Generation of Match-cutsCode1
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRICode1
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionCode1
Masked Pre-training Enables Universal Zero-shot DenoiserCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Deep Recurrent Neural Networks for ECG Signal DenoisingCode1
Intelligent Painter: Picture Composition With Resampling Diffusion ModelCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Deep Universal Blind Image DenoisingCode1
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User CommunicationsCode1
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication SystemsCode1
Denoising Diffusion Autoencoders are Unified Self-supervised LearnersCode1
Mask prior-guided denoising diffusion improves inverse protein foldingCode1
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation LearningCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Interpolating between Images with Diffusion ModelsCode1
Probabilistic Noise2Void: Unsupervised Content-Aware DenoisingCode1
Inverse Problem of Ultrasound Beamforming with Denoising-Based Regularized SolutionsCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image DenoisingCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
An Evaluation of Deep Learning Models for Stock Market Trend PredictionCode1
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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