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 66766700 of 7282 papers

TitleStatusHype
NMformer: A Transformer for Noisy Modulation Classification in Wireless CommunicationCode0
Algorithmic Guarantees for Inverse Imaging with Untrained Network PriorsCode0
Ground Truth Free Denoising by Optimal TransportCode0
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational PosteriorsCode0
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising AutoencodersCode0
Textual and Visual Prompt Fusion for Image Editing via Step-Wise AlignmentCode0
Learning to Reach Goals via DiffusionCode0
Total Denoising: Unsupervised Learning of 3D Point Cloud CleaningCode0
Consistent Human Image and Video Generation with Spatially Conditioned DiffusionCode0
CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and RecognitionCode0
Learning to Separate Object Sounds by Watching Unlabeled VideoCode0
NODE-ImgNet: a PDE-informed effective and robust model for image denoisingCode0
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video DenoisingCode0
Posterior Sampling for Random Noise Attenuation via Score-based Generative ModelsCode0
On the Wasserstein Convergence and Straightness of Rectified FlowCode0
Simultaneous Fidelity and Regularization Learning for Image RestorationCode0
Learning with Noisy Labels by Adaptive Gradient-Based Outlier RemovalCode0
Revisit 1D Total Variation restoration problem with new real-time algorithms for signal and hyper-parameter estimationsCode0
Straight to Shapes: Real-time Detection of Encoded ShapesCode0
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image DenoisingCode0
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image GenerationCode0
Posterior temperature optimized Bayesian models for inverse problems in medical imagingCode0
LED: A Large-scale Real-world Paired Dataset for Event Camera DenoisingCode0
SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather RemovalCode0
CocoNet: A deep neural network for mapping pixel coordinates to color valuesCode0
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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