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 36913700 of 7282 papers

TitleStatusHype
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer0
Exploring Continual Learning of Diffusion Models0
Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization0
3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model0
Exploring Diffusion with Test-Time Training on Efficient Image Restoration0
Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.0
Exploring ensembles and uncertainty minimization in denoising networks0
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms0
Exploring Magnitude Preservation and Rotation Modulation in Diffusion Transformers0
Exploring Optimal Latent Trajetory for Zero-shot Image Editing0
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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