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 326–350 of 7282 papers

TitleStatusHype
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New InsightsCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
Diffusion Bridge Implicit ModelsCode2
Generative Diffusion Models on Graphs: Methods and ApplicationsCode2
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementCode2
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASRCode2
Geodesic Diffusion Models for Medical Image-to-Image GenerationCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion GuidanceCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
Cross-video Identity Correlating for Person Re-identification Pre-trainingCode2
Cross-view Masked Diffusion Transformers for Person Image SynthesisCode2
Diffusion Transformer PolicyCode2
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits AnimationCode2
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image GenerationCode2
Hybrid Convolutional and Attention Network for Hyperspectral Image DenoisingCode2
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition AbilitiesCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
CGVQM+D: Computer Graphics Video Quality Metric and DatasetCode2
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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