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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3251–3275 of 7282 papers

TitleStatusHype
MaskPure: Improving Defense Against Text Adversaries with Stochastic PurificationCode0
Variational Distillation of Diffusion Policies into Mixture of Experts—0
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt GuidanceCode0
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction—0
A Dictionary Based Approach for Removing Out-of-Focus BlurCode0
Noise reduction in ISAR imaging of UAVs using weighted atomic norm minimization and 2D-ADMM algorithm—0
An Analysis on Quantizing Diffusion Transformers—0
Improving Probabilistic Diffusion Models With Optimal Covariance Matching—0
Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH SpacecraftCode0
Fast Unsupervised Tensor Restoration via Low-rank Deconvolution—0
Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided Diffusion—0
Full-reference Point Cloud Quality Assessment Using Spectral Graph Wavelets—0
Crafting Parts for Expressive Object Composition—0
RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement—0
Language-driven Grasp Detection—0
A Label-Free and Non-Monotonic Metric for Evaluating Denoising in Event Cameras—0
Hybrid Spatial-spectral Neural Network for Hyperspectral Image DenoisingCode0
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs—0
Preserving Identity with Variational Score for General-purpose 3D Editing—0
Diffusion Gaussian Mixture Audio Denoise—0
PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding—0
DiffPop: Plausibility-Guided Object Placement Diffusion for Image Composition—0
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results—0
Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside Diffusion—0
DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction—0
Show:102550
← PrevPage 131 of 292Next →
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