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 42514260 of 7282 papers

TitleStatusHype
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions0
Directional diffusion models for graph representation learning0
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models0
Resilient Sparse Array Radar with the Aid of Deep Learning0
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model0
Conditional expectation using compactification operators0
Weighted structure tensor total variation for image denoising0
Efficient HDR Reconstruction from Real-World Raw Images0
CANDID: Correspondence AligNment for Deep-burst Image Denoising0
Drag-guided diffusion models for vehicle image generation0
Show:102550
← PrevPage 426 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