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

Showing 901925 of 7282 papers

TitleStatusHype
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency DistillationCode1
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising DiffusionCode1
Single and Few-step Diffusion for Generative Speech EnhancementCode1
Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior EnhancementCode1
Beta DiffusionCode1
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme ConditionsCode1
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy ReconstructionCode1
Multi-view Self-supervised Disentanglement for General Image DenoisingCode1
Reuse and Diffuse: Iterative Denoising for Text-to-Video GenerationCode1
Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip StrategyCode1
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic ManipulationCode1
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic SegmenterCode1
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systemsCode1
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRICode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image ReconstructionCode1
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationCode1
Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency ModelCode1
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelCode1
High-quality Image Dehazing with Diffusion ModelCode1
Diffusion Model as Representation LearnerCode1
Physics-Guided Human Motion Capture with Pose Probability ModelingCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
Far3D: Expanding the Horizon for Surround-view 3D Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified