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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2601–2625 of 7282 papers

TitleStatusHype
Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis—0
AdaDiff: Adaptive Step Selection for Fast Diffusion Models—0
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration—0
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis—0
Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing—0
Fast Sub-millimeter Diffusion MRI using gSlider-SMS and SNR-Enhancing Joint Reconstruction—0
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising—0
Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data—0
Self-Consistent Nested Diffusion Bridge for Accelerated MRI Reconstruction—0
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications—0
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion—0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
CWGAN-GP Augmented CAE for Jamming Detection in 5G-NR in Non-IID Datasets—0
A Survey on the Visual Perceptions of Gaussian Noise Filtering on Photography—0
A Survey on Patch-based Synthesis: GPU Implementation and Optimization—0
A generative foundation model for an all-in-one seismic processing framework—0
Diffusion prior as a direct regularization term for FWI—0
Fast unsupervised Bayesian image segmentation with adaptive spatial regularisation—0
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond—0
A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation—0
A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal—0
ACT-Net: Anchor-context Action Detection in Surgery Videos—0
A Survey on Deep Tabular Learning—0
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging—0
CUNI Submission to MT4All Shared Task—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