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 1051–1100 of 7282 papers

TitleStatusHype
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style TransferCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
Improving Implicit Feedback-Based Recommendation through Multi-Behavior AlignmentCode1
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
Dual Residual Attention Network for Image DenoisingCode1
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsCode1
Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingCode1
SST-ReversibleNet: Reversible-prior-based Spectral-Spatial Transformer for Efficient Hyperspectral Image ReconstructionCode1
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
Knowledge-refined Denoising Network for Robust RecommendationCode1
Score-Based Diffusion Models as Principled Priors for Inverse ImagingCode1
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic ModelCode1
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image PriorCode1
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inferenceCode1
Automatically identifying ordinary differential equations from dataCode1
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed TomographyCode1
Revisiting Implicit Neural Representations in Low-Level VisionCode1
Multi-scale Adaptive Fusion Network for Hyperspectral Image DenoisingCode1
Look ATME: The Discriminator Mean Entropy Needs AttentionCode1
A Comparison of Image Denoising MethodsCode1
OVTrack: Open-Vocabulary Multiple Object TrackingCode1
DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean dataCode1
Within-Camera Multilayer Perceptron DVS DenoisingCode1
Gated Multi-Resolution Transfer Network for Burst Restoration and EnhancementCode1
DDT: Dual-branch Deformable Transformer for Image DenoisingCode1
Soundini: Sound-Guided Diffusion for Natural Video EditingCode1
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsCode1
Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo DenoisingCode1
Diffusion Models for Constrained DomainsCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image SynthesisCode1
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit ModelsCode1
RoSteALS: Robust Steganography using Autoencoder Latent SpaceCode1
Graph Collaborative Signals Denoising and Augmentation for RecommendationCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesCode1
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular CloudsCode1
IterativePFN: True Iterative Point Cloud FilteringCode1
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair TrainingCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot NetworkCode1
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Tunable Convolutions with Parametric Multi-Loss OptimizationCode1
Spectral Enhanced Rectangle Transformer for Hyperspectral Image DenoisingCode1
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World DenoisingCode1
-Diff: Infinite Resolution Diffusion with Subsampled Mollified StatesCode1
Diffusion Action SegmentationCode1
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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