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 1151–1200 of 7282 papers

TitleStatusHype
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Deterministic training of generative autoencoders using invertible layersCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
Conditional Controllable Image FusionCode1
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual DiffusionCode1
Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image CaptioningCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot ClassificationCode1
CLIP-Diffusion-LM: Apply Diffusion Model on Image CaptioningCode1
Diffusion Model as Representation LearnerCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentCode1
Image is All You Need to Empower Large-scale Diffusion Models for In-Domain GenerationCode1
Color Image Denoising Using The Green Channel PriorCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIPCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Diffusion Models for Graphs Benefit From Discrete State SpacesCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
An Unsupervised Deep Learning Approach for Real-World Image DenoisingCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
Anomaly Detection using Score-based Perturbation ResilienceCode1
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial AttacksCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot NetworkCode1
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct SupervisionCode1
Denoising Relation Extraction from Document-level Distant SupervisionCode1
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural NetworkCode1
A Physics-based Noise Formation Model for Extreme Low-light Raw DenoisingCode1
Digging into contrastive learning for robust depth estimation with diffusion modelsCode1
Denoising Task Routing for Diffusion ModelsCode1
Denoising Normalizing FlowCode1
Denoising Multi-Source Weak Supervision for Neural Text ClassificationCode1
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion ModelsCode1
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidenceCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
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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