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 31813190 of 7282 papers

TitleStatusHype
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration0
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions0
DuInNet: Dual-Modality Feature Interaction for Point Cloud Completion0
Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIRCode0
Accelerating Mobile Edge Generation (MEG) by Constrained Learning0
Implicit Regression in Subspace for High-Sensitivity CEST Imaging0
Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative ModelsCode0
LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video Reconstruction0
Structured Generations: Using Hierarchical Clusters to guide Diffusion ModelsCode0
CrowdMoGen: Zero-Shot Text-Driven Collective Motion Generation0
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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