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 581590 of 7282 papers

TitleStatusHype
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?Code1
bit2bit: 1-bit quanta video reconstruction via self-supervised photon predictionCode1
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
TopoDiffusionNet: A Topology-aware Diffusion ModelCode1
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential OrderingCode1
Open Materials 2024 (OMat24) Inorganic Materials Dataset and ModelsCode1
On the Effectiveness of Dataset Alignment for Fake Image DetectionCode1
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory PredictionCode1
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain NavigationCode1
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
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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