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 16511660 of 7282 papers

TitleStatusHype
Modeling the Neonatal Brain Development Using Implicit Neural RepresentationsCode0
PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and FutureCode1
Classifier-Free Guidance is a Predictor-Corrector0
MicroSSIM: Improved Structural Similarity for Comparing Microscopy DataCode0
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval0
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation0
Learned denoising with simulated and experimental low-dose CT data0
Deep Joint Denoising and Detection for Enhanced Intracellular Particle Analysis0
Disentangle and denoise: Tackling context misalignment for video moment retrieval0
Multi-task Heterogeneous Graph Learning on Electronic Health RecordsCode1
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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