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 801–850 of 7282 papers

TitleStatusHype
Learning a Diffusion Model Policy from Rewards via Q-Score MatchingCode1
PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative modelsCode1
Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention ModulationCode1
NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GANCode1
LatentEditor: Text Driven Local Editing of 3D ScenesCode1
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion ModelsCode1
Image is All You Need to Empower Large-scale Diffusion Models for In-Domain GenerationCode1
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise ToleranceCode1
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven InitializationCode1
World Models via Policy-Guided Trajectory DiffusionCode1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance ScaleCode1
The Journey, Not the Destination: How Data Guides Diffusion ModelsCode1
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion AttacksCode1
Textual Prompt Guided Image RestorationCode1
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy LabelsCode1
Optimized View and Geometry Distillation from Multi-view DiffuserCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Prompt-In-Prompt Learning for Universal Image RestorationCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic ModelsCode1
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIsCode1
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within TransformerCode1
PrimDiffusion: Volumetric Primitives Diffusion for 3D Human GenerationCode1
Training Neural Networks on RAW and HDR Images for Restoration TasksCode1
TokenCompose: Text-to-Image Diffusion with Token-level SupervisionCode1
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context LearningCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
Fully Spiking Denoising Diffusion Implicit ModelsCode1
EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion GenerationCode1
Unsupervised Anomaly Detection using Aggregated Normative DiffusionCode1
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingCode1
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under UncertaintyCode1
SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of AnnotationCode1
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelCode1
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and EditingCode1
Unsupervised Keypoints from Pretrained Diffusion ModelsCode1
SODA: Bottleneck Diffusion Models for Representation LearningCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person InteractionsCode1
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
LFSRDiff: Light Field Image Super-Resolution via Diffusion ModelsCode1
Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional networkCode1
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion ModelsCode1
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual NoiseCode1
Continual Learning of Diffusion Models with Generative DistillationCode1
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-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