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 18111820 of 7282 papers

TitleStatusHype
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
Implicit Regression in Subspace for High-Sensitivity CEST Imaging0
Diffusion Models: Tutorial and Survey0
Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal coherence0
Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total VariationCode1
Structured Generations: Using Hierarchical Clusters to guide Diffusion ModelsCode0
LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video Reconstruction0
Heterogeneous window transformer for image denoisingCode1
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine SamplingCode2
3D Vessel Graph Generation Using Denoising DiffusionCode1
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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