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 20812090 of 7282 papers

TitleStatusHype
Input Snapshots Fusion for Scalable Discrete Dynamic Graph Nerual Networks0
Mesh Denoising Transformer0
Self-Consistent Recursive Diffusion Bridge for Medical Image TranslationCode2
Deep MMD Gradient Flow without adversarial training0
Compression-Realized Deep Structural Network for Video Quality Enhancement0
supDQN: Supervised Rewarding Strategy Driven Deep Q-Network for sEMG Signal Decontamination0
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework0
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation LearningCode1
Array SAR 3D Sparse Imaging Based on Regularization by Denoising Under Few Observed Data0
Fast LiDAR Upsampling using Conditional Diffusion ModelsCode0
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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