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 761770 of 7282 papers

TitleStatusHype
Towards Consistent and Controllable Image Synthesis for Face Editing0
InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration0
T-SCEND: Test-time Scalable MCTS-enhanced Diffusion ModelCode1
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose EstimationCode2
Exploring the latent space of diffusion models directly through singular value decomposition0
CoDe: Blockwise Control for Denoising Diffusion ModelsCode0
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity0
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
A generative foundation model for an all-in-one seismic processing framework0
Sparse Measurement Medical CT Reconstruction using Multi-Fused Block Matching Denoising Priors0
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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