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 1001–1050 of 7282 papers

TitleStatusHype
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection SystemsCode1
DAEMA: Denoising Autoencoder with Mask AttentionCode1
Burst Denoising of Dark ImagesCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
Burst Image Restoration and EnhancementCode1
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising DiffusionCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
C2N: Practical Generative Noise Modeling for Real-World DenoisingCode1
A Conditional Diffusion Model for Electrical Impedance Tomography Image ReconstructionCode1
Event Enhanced High-Quality Image RecoveryCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
A Neural-Network-Based Convex Regularizer for Inverse ProblemsCode1
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within TransformerCode1
D^4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-OnCode1
A Neural Space-Time Representation for Text-to-Image PersonalizationCode1
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic ForecastingCode1
DALE: Generative Data Augmentation for Low-Resource Legal NLPCode1
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
AR-DAE: Towards Unbiased Neural Entropy Gradient EstimationCode1
Adversarial Counterfactual Visual ExplanationsCode1
3D Shape Generation and Completion through Point-Voxel DiffusionCode1
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
Data-Driven Denoising of Stationary Accelerometer SignalsCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
GENIE: Higher-Order Denoising Diffusion SolversCode1
GeoBi-GNN: Geometry-aware Bi-domain Mesh Denoising via Graph Neural NetworksCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
Generative Prompt Model for Weakly Supervised Object LocalizationCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
Generative Modeling with Optimal Transport MapsCode1
Generative Proxemics: A Prior for 3D Social Interaction from ImagesCode1
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy LabelsCode1
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT DenoisingCode1
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodCode1
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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