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 401425 of 7282 papers

TitleStatusHype
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationCode2
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent SpacesCode2
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
LION: Latent Point Diffusion Models for 3D Shape GenerationCode2
What the DAAM: Interpreting Stable Diffusion Using Cross AttentionCode2
Protein structure generation via folding diffusionCode2
TabDDPM: Modelling Tabular Data with Diffusion ModelsCode2
DiGress: Discrete Denoising diffusion for graph generationCode2
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
Diffusion Models in Vision: A SurveyCode2
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion ModelCode2
Augraphy: A Data Augmentation Library for Document ImagesCode2
FRA-RIR: Fast Random Approximation of the Image-source MethodCode2
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion ModelsCode2
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance FieldsCode2
Semantic Image Synthesis via Diffusion ModelsCode2
AnoDDPM: Anomaly Detection With Denoising Diffusion Probabilistic Models Using Simplex NoiseCode2
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change DetectionCode2
Diffusion models as plug-and-play priorsCode2
CARD: Classification and Regression Diffusion ModelsCode2
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
Improved Vector Quantized Diffusion ModelsCode2
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and InterpolationCode2
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech SynthesisCode2
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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