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 27212730 of 7282 papers

TitleStatusHype
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
A New Perspective On Denoising Based On Optimal Transport0
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging0
LoRA-Enhanced Distillation on Guided Diffusion Models0
Generating High-Resolution Regional Precipitation Using Conditional Diffusion Model0
FreeInit: Bridging Initialization Gap in Video Diffusion ModelsCode2
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation0
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models0
Learning to See Low-Light Images via Feature Domain Adaptation0
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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