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 46114620 of 7282 papers

TitleStatusHype
Label-free prediction of fluorescence markers in bovine satellite cells using deep learning0
Timbre transfer using image-to-image denoising diffusion implicit models0
Label-Noise Robust Domain Adaptation0
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes0
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details0
LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment Adapter0
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model0
Language-driven Grasp Detection0
Time-inhomogeneous diffusion geometry and topology0
Laplacian Denoising Autoencoder0
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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