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 301–350 of 7282 papers

TitleStatusHype
BAMM: Bidirectional Autoregressive Motion ModelCode2
DualDn: Dual-domain Denoising via Differentiable ISPCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
Diffusion Predictive Control with ConstraintsCode2
EasyText: Controllable Diffusion Transformer for Multilingual Text RenderingCode2
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionCode2
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionCode2
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design SpaceCode2
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningCode2
Diffusion models as plug-and-play priorsCode2
Diffusion Models and Representation Learning: A SurveyCode2
Diffusion Models in Vision: A SurveyCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech SynthesisCode2
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsCode2
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion ModelsCode2
FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationCode2
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained DiffusionCode2
Collaborative Diffusion for Multi-Modal Face Generation and EditingCode2
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
FRA-RIR: Fast Random Approximation of the Image-source MethodCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
Exposure Bracketing Is All You Need For A High-Quality ImageCode2
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion ModelCode2
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
Diffusion Bridge Implicit ModelsCode2
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising DiffusionCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionCode2
Generative Diffusion Models on Graphs: Methods and ApplicationsCode2
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementCode2
CascadedGaze: Efficiency in Global Context Extraction for Image RestorationCode2
CARD: Classification and Regression Diffusion ModelsCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
CGVQM+D: Computer Graphics Video Quality Metric and DatasetCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
Diffusion Transformer PolicyCode2
High-Precision Dichotomous Image Segmentation via Probing Diffusion CapacityCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits AnimationCode2
DiffiT: Diffusion Vision Transformers for Image GenerationCode2
HumanMAC: Masked Motion Completion for Human Motion PredictionCode2
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image GenerationCode2
Hybrid Convolutional and Attention Network for Hyperspectral Image DenoisingCode2
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency ModelsCode2
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
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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