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 49714980 of 7282 papers

TitleStatusHype
Towards Making the Most of Pre-trained Translation Model for Quality Estimation0
Towards Memorization-Free Diffusion Models0
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner0
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models0
Mesh Denoising based on Normal Voting Tensor and Binary Optimization0
Mesh Denoising Transformer0
Mesh Denoising via Cascaded Normal Regression0
MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation0
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning0
MetaDIP: Accelerating Deep Image Prior with Meta Learning0
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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