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 1201–1225 of 7282 papers

TitleStatusHype
Anomaly Detection using Score-based Perturbation ResilienceCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
3D Quasi-Recurrent Neural Network for Hyperspectral Image DenoisingCode1
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language ModelsCode1
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout GenerationCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in RadiotherapyCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the WildCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
DT-LSD: Deformable Transformer-based Line Segment DetectionCode1
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward GuidanceCode1
Computing Multiple Image Reconstructions with a Single HypernetworkCode1
Denoising Task Routing for Diffusion ModelsCode1
Classifier-free Guidance with Adaptive ScalingCode1
3D molecule generation by denoising voxel gridsCode1
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT DenoisingCode1
Denoising Relation Extraction from Document-level Distant SupervisionCode1
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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