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

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Showing 3631–3640 of 7282 papers

TitleStatusHype
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs—0
Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration—0
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth—0
Denoising Diffusion Probabilistic Models in Six Simple Steps—0
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting—0
Context-Aware Automated Passenger Counting Data Denoising—0
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models—0
DexDiffuser: Generating Dexterous Grasps with Diffusion Models—0
Denoising Time Cycle Modeling for Recommendation—0
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified