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 651660 of 7282 papers

TitleStatusHype
Periodic Materials Generation using Text-Guided Joint Diffusion ModelCode0
What Makes a Good Diffusion Planner for Decision Making?Code2
Denoising bivariate signals via smoothing and polarization priors0
DiffBrush:Just Painting the Art by Your Hands0
PET Image Denoising via Text-Guided Diffusion: Integrating Anatomical Priors through Text Prompts0
Mobius: Text to Seamless Looping Video Generation via Latent ShiftCode2
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud DenoisingCode1
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASRCode2
Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold NetworkCode0
Spectral Analysis of Representational Similarity with Limited Neurons0
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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