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

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Showing 576–600 of 7282 papers

TitleStatusHype
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
3D^2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
Adaptive Differential Denoising for Respiratory Sounds ClassificationCode1
DiffO: Single-step Diffusion for Image Compression at Ultra-Low BitratesCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Diffusion Model for Dense MatchingCode1
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding OptimizationCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric VideosCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and GuidanceCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
Adaptive Consistency Prior Based Deep Network for Image DenoisingCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified