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 36013610 of 7282 papers

TitleStatusHype
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference -- Application to pulsar observations0
A unified framework of non-local parametric methods for image denoising0
Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR0
Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference0
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras0
Transformer-based Learned Image Compression for Joint Decoding and Denoising0
The Uncanny Valley: A Comprehensive Analysis of Diffusion Models0
An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning0
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models0
Human Video Translation via Query Warping0
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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