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 751–800 of 7282 papers

TitleStatusHype
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and GenerationCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI SynthesisCode1
Elucidated Rolling Diffusion Models for Probabilistic Weather ForecastingCode1
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse ProblemsCode1
Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal FusionCode1
Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environmentCode1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Flexible Image Denoising with Multi-layer Conditional Feature ModulationCode1
A Two-Stage U-Net for High-Fidelity Denoising of Historical RecordingsCode1
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature RepresentationsCode1
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional NetworksCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
Action-Conditioned 3D Human Motion Synthesis with Transformer VAECode1
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationCode1
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelCode1
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication SystemsCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
From Denoising Diffusions to Denoising Markov ModelsCode1
AKDT: Adaptive Kernel Dilation Transformer for Effective Image DenoisingCode1
Deep Universal Blind Image DenoisingCode1
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency ModelCode1
Efficient Diffusion Transformer with Step-wise Dynamic Attention MediatorsCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoisingCode1
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transformCode1
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and GuidanceCode1
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot LearningCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMMCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation PriorsCode1
DenoiSeg: Joint Denoising and SegmentationCode1
AutoMat: Enabling Automated Crystal Structure Reconstruction from Microscopy via Agentic Tool UseCode1
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion GenerationCode1
Enhancing MMDiT-Based Text-to-Image Models for Similar Subject GenerationCode1
EDformer: Transformer-Based Event Denoising Across Varied Noise LevelsCode1
Controlling Latent Diffusion Using Latent CLIPCode1
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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