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 38913900 of 7282 papers

TitleStatusHype
Deep Transfer Tensor Factorization for Multi-View Learning0
Denoising and Prompt-Tuning for Multi-Behavior RecommendationCode1
Single Motion DiffusionCode2
Metaphor Detection with Effective Context DenoisingCode0
Star-Shaped Denoising Diffusion Probabilistic ModelsCode1
Language-Aware Multilingual Machine Translation with Self-Supervised LearningCode0
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocksCode0
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion ModelsCode2
Better Diffusion Models Further Improve Adversarial TrainingCode1
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model0
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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