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 2651–2675 of 7282 papers

TitleStatusHype
Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis—0
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO ImagingCode1
A Comprehensive Study of Object Tracking in Low-Light Environments—0
Toward Accurate and Temporally Consistent Video Restoration from Raw DataCode1
High-Fidelity Diffusion-based Image Editing—0
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models—0
Automatic Tooth Arrangement with Joint Features of Point and Mesh Representations via Diffusion Probabilistic Models—0
AI Generated Signal for Wireless Sensing—0
Emage: Non-Autoregressive Text-to-Image Generation—0
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing—0
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware DenoisingCode0
Dreaming of Electrical Waves: Generative Modeling of Cardiac Excitation Waves using Diffusion ModelsCode0
Non-Denoising Forward-Time Diffusions—0
Fine-grained Forecasting Models Via Gaussian Process Blurring EffectCode0
Multi-Sentence Grounding for Long-term Instructional Video—0
Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models—0
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model—0
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction—0
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
Class Information Guided Reconstruction for Automatic Modulation Open-Set Recognition—0
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion ModelsCode2
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation—0
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive GenerationCode6
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction—0
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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