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 371380 of 7282 papers

TitleStatusHype
DDFM: Denoising Diffusion Model for Multi-Modality Image FusionCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
KBNet: Kernel Basis Network for Image RestorationCode2
Unleashing Text-to-Image Diffusion Models for Visual PerceptionCode2
Human Motion Diffusion as a Generative PriorCode2
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsCode2
PC^2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D ReconstructionCode2
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial OptimizationCode2
Single Motion DiffusionCode2
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion ModelsCode2
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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