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 30513060 of 7282 papers

TitleStatusHype
Factor Adjusted Spectral Clustering for Mixture Models0
3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model0
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation0
First line of defense: A robust first layer mitigates adversarial attacksCode0
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models0
Pixel Is Not A Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models0
Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models0
Hierarchical Attention Diffusion Networks with Object Priors for Video Change Detection0
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
Perception-based multiplicative noise removal using SDEsCode0
Show:102550
← PrevPage 306 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