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 1201–1250 of 7282 papers

TitleStatusHype
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
Anomaly Detection using Score-based Perturbation ResilienceCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Dual Adversarial Network: Toward Real-world Noise Removal and Noise GenerationCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward GuidanceCode1
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECTCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Dual Residual Attention Network for Image DenoisingCode1
Dual-Scale Transformer for Large-Scale Single-Pixel ImagingCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
EC-Conf: An Ultra-fast Diffusion Model for Molecular Conformation Generation with Equivariant ConsistencyCode1
Computing Multiple Image Reconstructions with a Single HypernetworkCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT DenoisingCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
Classifier-free Guidance with Adaptive ScalingCode1
Image is All You Need to Empower Large-scale Diffusion Models for In-Domain GenerationCode1
EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoisingCode1
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation PriorsCode1
Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingCode1
3D molecule generation by denoising voxel gridsCode1
Conditional Consistency Guided Image Translation and EnhancementCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse ProblemsCode1
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion GenerationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text SummarizationCode1
EchoNet-Quality: Denoising Echocardiograms via Deep Generative Modeling of Ultrasound NoiseCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection SystemsCode1
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
Conditional score-based diffusion models for Bayesian inference in infinite dimensionsCode1
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large ShiftCode1
3D Shape Generation and Completion through Point-Voxel DiffusionCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
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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