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 12811290 of 7282 papers

TitleStatusHype
Consistency Diffusion Bridge ModelsCode2
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction0
Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising0
Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic ImagingCode0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting0
Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images0
RDSinger: Reference-based Diffusion Network for Singing Voice Synthesis0
Refined Risk Bounds for Unbounded Losses via Transductive Priors0
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft AssignmentCode0
Class-Aware Contrastive Optimization for Imbalanced Text Classification0
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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