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 42814290 of 7282 papers

TitleStatusHype
One Embedding To Do Them All0
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching0
Weighted structure tensor total variation for image denoising0
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls0
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns0
One-Pot Multi-Frame Denoising0
One-shot Learning for Channel Estimation in Massive MIMO Systems0
Prior-Guided Diffusion Planning for Offline Reinforcement Learning0
One Signal-Noise Separation based Wiener Filter for Magnetogastrogram0
One Size Fits All: Can We Train One Denoiser for All Noise Levels?0
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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