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 1026–1050 of 7282 papers

TitleStatusHype
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
Chip Placement with Diffusion ModelsCode1
Civil Rephrases Of Toxic Texts With Self-Supervised TransformersCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
Diffusion Action SegmentationCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
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
3D Quasi-Recurrent Neural Network for Hyperspectral Image DenoisingCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy ImagesCode1
Denoising Task Routing for Diffusion ModelsCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Denoising Normalizing FlowCode1
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidenceCode1
A Physics-based Noise Formation Model for Extreme Low-light Raw DenoisingCode1
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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