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 34013410 of 7282 papers

TitleStatusHype
Defending Spiking Neural Networks against Adversarial Attacks through Image Purification0
SNRGAN: The Semi Noise Reduction GAN for Image DenoisingCode0
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns0
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging0
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models0
Score matching for sub-Riemannian bridge sampling0
DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition0
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving0
GLoD: Composing Global Contexts and Local Details in Image Generation0
A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses0
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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