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 1476–1500 of 7282 papers

TitleStatusHype
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image SensorCode1
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text GenerationCode1
Neural Transfer Learning for Repairing Security Vulnerabilities in C CodeCode1
Advanced Deep Networks for 3D Mitochondria Instance SegmentationCode1
Image Super-Resolution via Iterative RefinementCode1
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding LearningCode1
On the Design of Deep Priors for Unsupervised Audio RestorationCode1
Action-Conditioned 3D Human Motion Synthesis with Transformer VAECode1
Speech Denoising Without Clean Training Data: A Noise2Noise ApproachCode1
3D Shape Generation and Completion through Point-Voxel DiffusionCode1
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal ProcessingCode1
Interpretable Unsupervised Diversity Denoising and Artefact RemovalCode1
Variational Deep Image DenoisingCode1
Denoise and Contrast for Category Agnostic Shape CompletionCode1
Multimodal Knowledge ExpansionCode1
Patch Craft: Video Denoising by Deep Modeling and Patch MatchingCode1
Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image DenoiserCode1
UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color SpaceCode1
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse RepresentationsCode1
Time-Ordered Recent Event (TORE) Volumes for Event CamerasCode1
Unified Pre-training for Program Understanding and GenerationCode1
COLA-Net: Collaborative Attention Network for Image RestorationCode1
Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal FusionCode1
High Perceptual Quality Image Denoising with a Posterior Sampling CGANCode1
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary LearningCode1
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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