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 91100 of 7282 papers

TitleStatusHype
VmambaIR: Visual State Space Model for Image RestorationCode3
Score-Guided Diffusion for 3D Human RecoveryCode3
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force FieldsCode3
Diffusion-TS: Interpretable Diffusion for General Time Series GenerationCode3
ViewDiff: 3D-Consistent Image Generation with Text-to-Image ModelsCode3
Seamless Human Motion Composition with Blended Positional EncodingsCode3
Visual Style Prompting with Swapping Self-AttentionCode3
3D Diffuser Actor: Policy Diffusion with 3D Scene RepresentationsCode3
3D Diffuser Actor: Policy Diffusion with 3D Scene RepresentationsCode3
RoHM: Robust Human Motion Reconstruction via DiffusionCode3
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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