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 2076–2100 of 7282 papers

TitleStatusHype
Denoising Diffusion for 3D Hand Pose Estimation from Images—0
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network—0
Denoising Diffusion Error Correction Codes—0
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation—0
Adaptive Regularization of Some Inverse Problems in Image Analysis—0
Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion—0
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs—0
Bi-Directional MS Lesion Filling and Synthesis Using Denoising Diffusion Implicit Model-based Lesion Repainting—0
Bidirectional Language Models Are Also Few-shot Learners—0
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising—0
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models—0
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties—0
Denoising Dictionary Learning Against Adversarial Perturbations—0
Bias for Action: Video Implicit Neural Representations with Bias Modulation—0
Denoising Designs-inherited Search Framework for Image Denoising—0
Bias and variance reduction and denoising for CTF Estimation—0
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems—0
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction—0
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation—0
Denoising Criterion for Variational Auto-Encoding Framework—0
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning—0
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering—0
Denoising Click-evoked Otoacoustic Emission Signals by Optimal Shrinkage—0
The Missing U for Efficient Diffusion Models—0
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling—0
Show:102550
← PrevPage 84 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