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 19411950 of 7282 papers

TitleStatusHype
Multi-Stage Speaker Diarization for Noisy ClassroomsCode0
BandRC: Band Shifted Raised Cosine Activated Implicit Neural Representations0
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT AccelerationCode0
CRISP: Clustering Multi-Vector Representations for Denoising and Pruning0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion0
Noisemaker 3D: Comprehensive Framework for Mesh Noise GenerationCode0
A Fourier Space Perspective on Diffusion Models0
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity0
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition0
Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review0
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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