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 24012410 of 7282 papers

TitleStatusHype
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising DiffusionCode0
Label-Noise Robust Diffusion ModelsCode1
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices0
Denoising Diffusion Models for Inpainting of Healthy Brain Tissue0
Purified and Unified Steganographic NetworkCode1
Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners0
Structure-Guided Adversarial Training of Diffusion Models0
Diffusion Model-Based Image Editing: A SurveyCode4
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis0
Multi-LoRA Composition for Image Generation0
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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