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 40614070 of 7282 papers

TitleStatusHype
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals0
GPU acceleration of NL-means, BM3D and VBM3D0
GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder0
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling0
Gradient-based adaptive wavelet de-noising method for photoacoustic imaging in vivo0
Gradient-based Point Cloud Denoising with Uniformity0
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank0
Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion0
Gradient Distribution Priors for Biomedical Image Processing0
Gradient Domain Weighted Guided Image Filtering0
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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