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 38313840 of 7282 papers

TitleStatusHype
3D Human Pose Analysis via Diffusion Synthesis0
Fingerprinting Deep Image Restoration Models0
Fingerprinting Denoising Diffusion Probabilistic Models0
Finite Impulse Response Filters for Simplicial Complexes0
FINO: Flow-based Joint Image and Noise Model0
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model0
First order algorithms in variational image processing0
Increasing Iterate Averaging for Solving Saddle-Point Problems0
First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 10
Fitting very flexible models: Linear regression with large numbers of parameters0
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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