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 27112720 of 7282 papers

TitleStatusHype
Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution0
Test-time Conditional Text-to-Image Synthesis Using Diffusion Models0
Probabilistic Prior Driven Attention Mechanism Based on Diffusion Model for Imaging Through Atmospheric Turbulence0
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements0
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies0
DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration0
ColorEdit: Training-free Image-Guided Color editing with diffusion model0
Learning Generalizable 3D Manipulation With 10 DemonstrationsCode0
Iterative tomographic reconstruction with TV prior for low-dose CBCT dental imaging0
Video Denoising in Fluorescence Guided Surgery0
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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