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 11611170 of 7282 papers

TitleStatusHype
Don't Play Favorites: Minority Guidance for Diffusion ModelsCode1
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory PredictionCode1
Mixed Attention Network for Hyperspectral Image DenoisingCode1
Input Perturbation Reduces Exposure Bias in Diffusion ModelsCode1
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation EquationCode1
Solving Inverse Physics Problems with Score MatchingCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
The role of noise in denoising models for anomaly detection in medical imagesCode1
Fast Inference in Denoising Diffusion Models via MMD FinetuningCode1
Representing Noisy Image Without DenoisingCode1
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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