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 461470 of 7282 papers

TitleStatusHype
Denoising guarantees for optimized sampling schemes in compressed sensing0
Deep Learning-Based Extended Target Tracking in ISAC Systems0
DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models0
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design SpaceCode2
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model ApproachCode0
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile DevicesCode2
Foundation Models For Seismic Data Processing: An Extensive ReviewCode0
ExScene: Free-View 3D Scene Reconstruction with Gaussian Splatting from a Single Image0
SU-YOLO: Spiking Neural Network for Efficient Underwater Object DetectionCode0
NoProp: Training Neural Networks without Back-propagation or Forward-propagationCode1
Show:102550
← PrevPage 47 of 729Next →

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