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 14911500 of 7282 papers

TitleStatusHype
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
Privacy-Preserving Diffusion Model Using Homomorphic EncryptionCode1
Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environmentCode1
Learning a Diffusion Model Policy from Rewards via Q-Score MatchingCode1
Learning Graph-Convolutional Representations for Point Cloud DenoisingCode1
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
Deep Equilibrium Approaches to Diffusion ModelsCode1
Deep Energy Estimator NetworksCode1
Certified Robustness for Large Language Models with Self-DenoisingCode1
LatentEditor: Text Driven Local Editing of 3D ScenesCode1
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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