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 34313440 of 7282 papers

TitleStatusHype
Convolutional Recurrent Neural Network with Attention for 3D Speech Enhancement0
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model0
Non-autoregressive Conditional Diffusion Models for Time Series Prediction0
Normalization-Equivariant Neural Networks with Application to Image DenoisingCode1
RefineVIS: Video Instance Segmentation with Temporal Attention Refinement0
Synthesizing realistic sand assemblies with denoising diffusion in latent space0
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT0
Rethinking Weak Supervision in Helping Contrastive Learning0
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation0
Learning with Noisy Labels by Adaptive Gradient-Based Outlier RemovalCode0
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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