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

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Showing 4171–4180 of 7282 papers

TitleStatusHype
Hierarchical spike coding of sound—0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction—0
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling—0
2D Neural Fields with Learned Discontinuities—0
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models—0
High-dimensional learning of narrow neural networks—0
High-Fidelity Diffusion-based Image Editing—0
High Fidelity Speech Regeneration with Application to Speech Enhancement—0
High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching—0
High-Frequency aware Perceptual Image Enhancement—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified