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

Showing 10511075 of 7282 papers

TitleStatusHype
Advanced Deep Networks for 3D Mitochondria Instance SegmentationCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot NetworkCode1
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial AttacksCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
3D Priors-Guided Diffusion for Blind Face RestorationCode1
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
An Unsupervised Deep Learning Approach for Real-World Image DenoisingCode1
Unsupervised Sketch-to-Photo SynthesisCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
AdsorbDiff: Adsorbate Placement via Conditional Denoising DiffusionCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified