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 21812190 of 7282 papers

TitleStatusHype
Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI0
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models0
Move Anything with Layered Scene Diffusion0
Adversarial purification for no-reference image-quality metrics: applicability study and new methods0
Efficient Denoising using Score Embedding in Score-based Diffusion Models0
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space0
Masked Modeling Duo: Towards a Universal Audio Pre-training Framework0
scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating samplingCode1
GeoDirDock: Guiding Docking Along Geodesic Paths0
High Noise Scheduling is a Must0
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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