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 30613070 of 7282 papers

TitleStatusHype
Multi-Scale Representation Learning for Image Restoration with State-Space Model0
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
MicroSSIM: Improved Structural Similarity for Comparing Microscopy DataCode0
A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers0
Modeling the Neonatal Brain Development Using Implicit Neural RepresentationsCode0
Classifier-Free Guidance is a Predictor-Corrector0
Diffusion Model for Planning: A Systematic Literature Review0
Learned denoising with simulated and experimental low-dose CT data0
Deep Joint Denoising and Detection for Enhanced Intracellular Particle Analysis0
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval0
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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