Copertina

A Scalable Training Strategy for Blind Multi-Distribution Noise Removal

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Kevin, Kulshrestha, Sakshum, Metzler, Christopher
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition Machine Learning Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
di: Shah, Sachin, et al.
Pubblicazione: (2024)

Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats
di: Xie, Mingyang, et al.
Pubblicazione: (2024)

Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal
di: Guo, Xuechen, et al.
Pubblicazione: (2023)

Inverse Synthetic Aperture Fourier Ptychography
di: Chan, Matthew A., et al.
Pubblicazione: (2025)

Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
di: Chen, Xi, et al.
Pubblicazione: (2024)

Strong and Controllable Blind Image Decomposition
di: Zhang, Zeyu, et al.
Pubblicazione: (2024)

Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising
di: Monroy, Brayan, et al.
Pubblicazione: (2026)

Supervision by Denoising for Medical Image Segmentation
di: Young, Sean I., et al.
Pubblicazione: (2022)

Scalable Drift Monitoring in Medical Imaging AI
di: Merkow, Jameson, et al.
Pubblicazione: (2024)

Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagery
di: Sui, Jialu, et al.
Pubblicazione: (2024)

The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning
di: Sahraee-Ardakan, Mojtaba, et al.
Pubblicazione: (2026)

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models
di: An, Ulzee, et al.
Pubblicazione: (2025)

TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection
di: Suhail, Pirzada, et al.
Pubblicazione: (2025)

Blind Underwater Image Restoration using Co-Operational Regressor Networks
di: Devecioglu, Ozer Can, et al.
Pubblicazione: (2024)

Echocardiography to Cardiac MRI View Transformation for Real-Time Blind Restoration
di: Adalioglu, Ilke, et al.
Pubblicazione: (2024)

Learning Illumination Control in Diffusion Models
di: Anand, Nishit, et al.
Pubblicazione: (2026)

Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
di: Górka, Monika, et al.
Pubblicazione: (2024)

Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising
di: Hu, Jintong, et al.
Pubblicazione: (2024)

Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
di: Du, Junliang, et al.
Pubblicazione: (2024)

Blind Ultrasound Image Enhancement via Self-Supervised Physics-Guided Degradation Modeling
di: Khan, Shujaat, et al.
Pubblicazione: (2026)

Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models
di: Pang, Wang, et al.
Pubblicazione: (2025)

OmniLens++: Blind Lens Aberration Correction via Large LensLib Pre-Training and Latent PSF Representation
di: Jiang, Qi, et al.
Pubblicazione: (2025)

PRISM: Probabilistic and Robust Inverse Solver with Measurement-Conditioned Diffusion Prior for Blind Inverse Problems
di: Hu, Yuanyun, et al.
Pubblicazione: (2025)

Unsupervised Multi-Clustering and Decision-Making Strategies for 4D-STEM Orientation Mapping
di: Cao, Junhao, et al.
Pubblicazione: (2025)

Glimpse: Generalized Locality for Scalable and Robust CT
di: Khorashadizadeh, AmirEhsan, et al.
Pubblicazione: (2024)

Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
di: Singh, Sonit, et al.
Pubblicazione: (2024)

Enhancing Sample Generation of Diffusion Models using Noise Level Correction
di: Abuduweili, Abulikemu, et al.
Pubblicazione: (2024)

R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification
di: Ahishali, Mete, et al.
Pubblicazione: (2022)

Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoising
di: Sun, Yipeng, et al.
Pubblicazione: (2025)

ViTGAN: Training GANs with Vision Transformers
di: Lee, Kwonjoon, et al.
Pubblicazione: (2021)

Efficient Multi Subject Visual Reconstruction from fMRI Using Aligned Representations
di: Zangos, Christos, et al.
Pubblicazione: (2025)

MEt3R: Measuring Multi-View Consistency in Generated Images
di: Asim, Mohammad, et al.
Pubblicazione: (2025)

Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification
di: Khanal, Bidur, et al.
Pubblicazione: (2024)

ReNoise: Real Image Inversion Through Iterative Noising
di: Garibi, Daniel, et al.
Pubblicazione: (2024)

HistoViT: Vision Transformer for Accurate and Scalable Histopathological Cancer Diagnosis
di: Ahmed, Faisal
Pubblicazione: (2025)

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization
di: Doerrich, Sebastian, et al.
Pubblicazione: (2024)

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
di: Wong, Hallee E., et al.
Pubblicazione: (2024)

Learning Physics-Informed Noise Models from Dark Frames for Low-Light Raw Image Denoising
di: Feng, Hansen, et al.
Pubblicazione: (2023)

Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization
di: Peng, Kunyu, et al.
Pubblicazione: (2024)

Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects
di: Zhang, Yixin, et al.
Pubblicazione: (2024)