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 1251–1300 of 7282 papers

TitleStatusHype
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
AR-DAE: Towards Unbiased Neural Entropy Gradient EstimationCode1
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIPCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising LearningCode1
Improving Image Restoration through Removing Degradations in Textual RepresentationsCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency ModelsCode1
Improving Implicit Feedback-Based Recommendation through Multi-Behavior AlignmentCode1
Diffusion Model for Dense MatchingCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
Anomaly Detection using Score-based Perturbation ResilienceCode1
Are Diffusion Models Vision-And-Language Reasoners?Code1
Unified Discrete Diffusion for Categorical DataCode1
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be ConsistentCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Deep Convolutional Denoising of Low-Light ImagesCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
Improving Blind Spot Denoising for MicroscopyCode1
Content-Noise Complementary Learning for Medical Image DenoisingCode1
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic ModelCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce ClassificationCode1
DDT: Dual-branch Deformable Transformer for Image DenoisingCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Diffuse3D: Wide-Angle 3D Photography via Bilateral DiffusionCode1
Classifier-free Guidance with Adaptive ScalingCode1
3D molecule generation by denoising voxel gridsCode1
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass SegmentationCode1
DDM^2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion ModelsCode1
Implementation of the VBM3D Video Denoising Method and Some VariantsCode1
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large ShiftCode1
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCode1
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series ForecastingCode1
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
Adversarial score matching and improved sampling for image generationCode1
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning RulesCode1
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose EstimaitonCode1
Image Super-Resolution via Iterative RefinementCode1
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class LabelsCode1
Show:102550
← PrevPage 26 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