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 32213230 of 7282 papers

TitleStatusHype
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models0
Deep Interaction between Masking and Mapping Targets for Single-Channel Speech Enhancement0
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals0
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models0
Good Similar Patches for Image Denoising0
Gotta Go Fast with Score-Based Generative Models0
GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors0
Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach0
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals0
Entropy stable conservative flux form neural networks0
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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