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 13811390 of 7282 papers

TitleStatusHype
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis0
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling0
Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image EditingCode0
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain NavigationCode1
High-Precision Dichotomous Image Segmentation via Probing Diffusion CapacityCode2
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory PredictionCode1
Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion ModelsCode2
Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE's representing nonlinear dynamic systems0
Variational Diffusion Posterior Sampling with Midpoint GuidanceCode1
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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