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 661670 of 7282 papers

TitleStatusHype
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic ForecastingCode1
DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image ClarityCode1
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizingCode1
Zero-Shot Image Denoising for High-Resolution Electron MicroscopyCode1
Latent Denoising Diffusion GAN: Faster sampling, Higher image qualityCode1
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency ModelsCode1
DenoiseRep: Denoising Model for Representation LearningCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
Graph Bottlenecked Social RecommendationCode1
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse ProblemsCode1
Show:102550
← PrevPage 67 of 729Next →

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