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 15811590 of 7282 papers

TitleStatusHype
Point Cloud Denoising via Momentum Ascent in Gradient FieldsCode1
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud LearningCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Practical Deep Raw Image Denoising on Mobile DevicesCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Predictive microstructure image generation using denoising diffusion probabilistic modelsCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory PredictionCode1
AutoMat: Enabling Automated Crystal Structure Reconstruction from Microscopy via Agentic Tool UseCode1
DiffCMR: Fast Cardiac MRI Reconstruction with 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