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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–900 of 7282 papers

TitleStatusHype
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
Multi-Granularity Hand Action DetectionCode1
4DenoiseNet: Adverse Weather Denoising from Adjacent Point CloudsCode1
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data GenerationCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data HidingCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
Few-Shot Diffusion ModelsCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
Filter2Noise: Interpretable Self-Supervised Single-Image Denoising for Low-Dose CT with Attention-Guided Bilateral FilteringCode1
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
BEHM-GAN: Bandwidth Extension of Historical Music using Generative Adversarial NetworksCode1
DiffSim: Taming Diffusion Models for Evaluating Visual SimilarityCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Beta DiffusionCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian NoiseCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Diffuse3D: Wide-Angle 3D Photography via Bilateral DiffusionCode1
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral ImagesCode1
Fast mesh denoising with data driven normal filtering using deep variational autoencodersCode1
Fast Inference in Denoising Diffusion Models via MMD FinetuningCode1
Fast Monte Carlo Rendering via Multi-Resolution SamplingCode1
An Analysis and Mitigation of the Reversal CurseCode1
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising TransformerCode1
Adversarial score matching and improved sampling for image generationCode1
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse RepresentationsCode1
FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video GenerationCode1
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose EstimaitonCode1
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based PenaltiesCode1
Adversarial Schrödinger Bridge MatchingCode1
Beyond Surface Statistics: Scene Representations in a Latent Diffusion ModelCode1
3D Vessel Graph Generation Using Denoising DiffusionCode1
Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
Input Perturbation Reduces Exposure Bias in Diffusion ModelsCode1
Adversarial purification with Score-based generative modelsCode1
DDT: Dual-branch Deformable Transformer for Image DenoisingCode1
A Continuous Time Framework for Discrete Denoising ModelsCode1
Controlling Latent Diffusion Using Latent CLIPCode1
DenoiseRep: Denoising Model for Representation LearningCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise RemovalCode1
Show:102550
← PrevPage 18 of 146Next →
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