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 601–650 of 7282 papers

TitleStatusHype
Aligning Few-Step Diffusion Models with Dense Reward Difference LearningCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
DR2: Diffusion-based Robust Degradation Remover for Blind Face RestorationCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
3D^2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingCode1
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodCode1
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
Adaptive Differential Denoising for Respiratory Sounds ClassificationCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic LanguagesCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding OptimizationCode1
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the WildCode1
DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh RecoveryCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
Crystal Structure Prediction by Joint Equivariant DiffusionCode1
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy LabelsCode1
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series TransformerCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and GuidanceCode1
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT DenoisingCode1
Adaptive Consistency Prior Based Deep Network for Image DenoisingCode1
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationCode1
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
Don't Play Favorites: Minority Guidance for Diffusion ModelsCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
AKDT: Adaptive Kernel Dilation Transformer for Effective Image DenoisingCode1
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language ModelsCode1
DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising TrainingCode1
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and GenerationCode1
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout GenerationCode1
Denoising-Aware Contrastive Learning for Noisy Time SeriesCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
A Bregman Learning Framework for Sparse Neural NetworksCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-TransformerCode1
Domain Generalization for Object Recognition with Multi-task AutoencodersCode1
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in RadiotherapyCode1
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion ModelsCode1
AIM 2020 Challenge on Learned Image Signal Processing PipelineCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
Distantly Supervised Relation Extraction in Federated SettingsCode1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
Joint ptycho-tomography with deep generative priorsCode1
Discrete Diffusion Probabilistic Models for Symbolic Music GenerationCode1
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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