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 43814390 of 7282 papers

TitleStatusHype
Real-World Denoising via Diffusion Model0
Autoencoder-based prediction of ICU clinical codesCode0
Multi-Scale Energy (MuSE) plug and play framework for inverse problems0
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration0
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising0
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework0
Denoising-Contrastive Alignment for Continuous Sign Language Recognition0
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
Contrastive Learning for Low-light Raw Denoising0
Show:102550
← PrevPage 439 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