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 27412750 of 7282 papers

TitleStatusHype
Compensation Sampling for Improved Convergence in Diffusion ModelsCode0
DiT-Head: High-Resolution Talking Head Synthesis using Diffusion Transformers0
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning0
A Note on the Convergence of Denoising Diffusion Probabilistic Models0
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction PredictionCode0
DPoser: Diffusion Model as Robust 3D Human Pose PriorCode2
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Consistency Models for Scalable and Fast Simulation-Based InferenceCode0
A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model0
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic ModelsCode1
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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