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 38213830 of 7282 papers

TitleStatusHype
Cache Me if You Can: Accelerating Diffusion Models through Block Caching0
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention0
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models0
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction0
Adaptive Multi-step Refinement Network for Robust Point Cloud RegistrationCode0
ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning0
Equivariant plug-and-play image reconstruction0
X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model0
Slice3D: Multi-Slice, Occlusion-Revealing, Single View 3D Reconstruction0
AAMDM: Accelerated Auto-regressive Motion 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