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 29913000 of 7282 papers

TitleStatusHype
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion0
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration0
Fractional Calculus In Image Processing: A Review0
Evaluation of Video-Based rPPG in Challenging Environments: Artifact Mitigation and Network Resilience0
A Faster Patch Ordering Method for Image Denoising0
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models0
Gotta Go Fast with Score-Based Generative Models0
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models0
Fréchet regression with implicit denoising and multicollinearity reduction0
Evaluation of Transfer Learning for Polish with a Text-to-Text Model0
Show:102550
← PrevPage 300 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