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 1376–1400 of 7282 papers

TitleStatusHype
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Neighborhood Reconstructing AutoencodersCode1
Denoising Normalizing FlowCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
EdiBERT, a generative model for image editingCode1
Revisiting Temporal Alignment for Video RestorationCode1
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstructionCode1
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCode1
Vector Quantized Diffusion Model for Text-to-Image SynthesisCode1
Unsupervised Image Denoising with Frequency Domain KnowledgeCode1
IDR: Self-Supervised Image Denoising via Iterative Data RefinementCode1
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image PriorCode1
Exploring Versatile Prior for Human Motion via Motion Frequency GuidanceCode1
Fast mesh denoising with data driven normal filtering using deep variational autoencodersCode1
One-shot Weakly-Supervised Segmentation in Medical ImagesCode1
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact RemovalCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
Restormer: Efficient Transformer for High-Resolution Image RestorationCode1
SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRICode1
MultiSV: Dataset for Far-Field Multi-Channel Speaker VerificationCode1
Realistic galaxy image simulation via score-based generative modelsCode1
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding LearningCode1
Self-Supervised Speech Denoising Using Only Noisy Audio SignalsCode1
NeRV: Neural Representations for VideosCode1
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine TranslationCode1
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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