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 34813490 of 7282 papers

TitleStatusHype
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection0
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold RobustnessCode0
Diffusion Model for Dense MatchingCode1
On Diffusion Modeling for Anomaly DetectionCode1
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio GenerationCode1
Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular DynamicsCode0
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-DenoisingCode2
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
Conditional score-based diffusion models for Bayesian inference in infinite dimensionsCode1
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023Code1
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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