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 901–950 of 7282 papers

TitleStatusHype
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image RestorationCode1
Knowledge Diffusion for DistillationCode1
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data HidingCode1
Bilevel Fast Scene Adaptation for Low-Light Image EnhancementCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
D^4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-OnCode1
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image RestorationCode1
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly DetectionCode1
Fully Spiking Denoising Diffusion Implicit ModelsCode1
Crystal Structure Prediction by Joint Equivariant DiffusionCode1
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy LabelsCode1
Diffusion Suction Grasping with Large-Scale Parcel DatasetCode1
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT DenoisingCode1
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder ArchitectureCode1
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsCode1
bit2bit: 1-bit quanta video reconstruction via self-supervised photon predictionCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
DiffX: Guide Your Layout to Cross-Modal Generative ModelingCode1
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct SupervisionCode1
Diffusive Gibbs SamplingCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
An Analysis and Mitigation of the Reversal CurseCode1
Adversarial score matching and improved sampling for image generationCode1
Digging into contrastive learning for robust depth estimation with diffusion modelsCode1
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationCode1
Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
Adversarial Schrödinger Bridge MatchingCode1
Blind ECG Restoration by Operational Cycle-GANsCode1
3D Detection and Characterisation of ALMA Sources through Deep LearningCode1
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
Disentangling Noise from Images: A Flow-Based Image Denoising Neural NetworkCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
Distantly Supervised Relation Extraction in Federated SettingsCode1
3D Vessel Graph Generation Using Denoising DiffusionCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
Adversarial purification with Score-based generative modelsCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
DAEMA: Denoising Autoencoder with Mask AttentionCode1
Divide-and-Conquer Posterior Sampling for Denoising Diffusion PriorsCode1
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and GenerationCode1
A Continuous Time Framework for Discrete Denoising ModelsCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
FreeCompose: Generic Zero-Shot Image Composition with Diffusion PriorCode1
DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising TrainingCode1
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language ModelsCode1
From Denoising Diffusions to Denoising Markov ModelsCode1
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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