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 22512260 of 7282 papers

TitleStatusHype
Ship in Sight: Diffusion Models for Ship-Image Super ResolutionCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
Global Point Cloud Registration Network for Large TransformationsCode0
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images0
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational AutoencoderCode0
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion ModelCode2
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain0
Denoising Table-Text Retrieval for Open-Domain Question AnsweringCode0
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation0
Noise2Noise Denoising of CRISM Hyperspectral DataCode1
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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