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 3701–3750 of 7282 papers

TitleStatusHype
DCANet: Dual Convolutional Neural Network with Attention for Image Blind DenoisingCode0
IterativePFN: True Iterative Point Cloud FilteringCode1
Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer—0
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair TrainingCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot NetworkCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Denoising of discrete-time chaotic signals using echo state networks—0
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver—0
Generative Diffusion Prior for Unified Image Restoration and Enhancement—0
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document GenerationCode0
ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis—0
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models—0
Tunable Convolutions with Parametric Multi-Loss OptimizationCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
ReMoDiffuse: Retrieval-Augmented Motion Diffusion ModelCode2
Spectral Enhanced Rectangle Transformer for Hyperspectral Image DenoisingCode1
Variational Denoising for Variational Quantum Eigensolver—0
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET DenoisingCode0
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World DenoisingCode1
AMC-Net: An Effective Network for Automatic Modulation Classification—0
-Diff: Infinite Resolution Diffusion with Subsampled Mollified StatesCode1
Diffusion Action SegmentationCode1
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based ApproachCode1
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature RepresentationsCode1
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference—0
Masked Autoencoders as Image ProcessorsCode1
DDP: Diffusion Model for Dense Visual PredictionCode2
HDR Imaging with Spatially Varying Signal-to-Noise Ratios—0
Diffusion Schrödinger Bridge Matching—0
The G-invariant graph Laplacian—0
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios—0
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration—0
Implicit Diffusion Models for Continuous Super-ResolutionCode2
Real-time Controllable Denoising for Image and VideoCode1
4D Facial Expression Diffusion ModelCode1
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion ModelsCode1
Robust Andrew's sine estimate adaptive filtering—0
Channel Phase Processing in Wireless Networks for Human Activity Recognition—0
GeoTMI:Predicting quantum chemical property with easy-to-obtain geometry via positional denoising—0
Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm—0
Whole-body PET image denoising for reduced acquisition time—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
Pushing The Limits of the Wiener Filter in Image DenoisingCode0
Seer: Language Instructed Video Prediction with Latent Diffusion ModelsCode1
Memory-Efficient 3D Denoising Diffusion Models for Medical Image ProcessingCode1
Spatially Adaptive Self-Supervised Learning for Real-World Image DenoisingCode1
Exploring Continual Learning of Diffusion Models—0
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning—0
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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