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 791800 of 7282 papers

TitleStatusHype
Multiway Point Cloud Mosaicking with Diffusion and Global OptimizationCode1
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot LearningCode1
Robust Image Denoising through Adversarial Frequency MixupCode1
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion ModelsCode1
Improving Image Restoration through Removing Degradations in Textual RepresentationsCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO ImagingCode1
Toward Accurate and Temporally Consistent Video Restoration from Raw DataCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
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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