Image de couverture de livre

Low-light phase retrieval with implicit generative priors

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Manekar, Raunak, Negrini, Elisa, Pham, Minh, Jacobs, Daniel, Srivastava, Jaideep, Osher, Stanley J., Miao, Jianwei
Format:	Preprint
Publié:	2024
Sujets:	Computational Physics Computer Vision and Pattern Recognition Optics 68T10 68T07 78A46
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration
par: Xu, Guixian, et autres
Publié: (2023)

Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography
par: Zhou, Qingping, et autres
Publié: (2023)

Diffusion assisted image reconstruction in optoacoustic tomography
par: González, M. G., et autres
Publié: (2024)

Bayesian optimization approach for tracking the location and orientation of a moving target using far-field data
par: Lee, Woojoo, et autres
Publié: (2024)

Neural-network methods for two-dimensional finite-source reflector design
par: Hacking, Roel, et autres
Publié: (2026)

Inverse Electromagnetic Scattering for Doubly-Connected Cylinders using Convolutional Neural Networks
par: Mindrinos, Leonidas, et autres
Publié: (2025)

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
par: Pavlov, Gorgi
Publié: (2026)

Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
par: Buyukcakir, Barkin, et autres
Publié: (2025)

Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection
par: Liu, Zihan, et autres
Publié: (2025)

A Generalization Bound for a Family of Implicit Networks
par: Fung, Samy Wu, et autres
Publié: (2024)

$μ$NeuFMT: Optical-Property-Adaptive Fluorescence Molecular Tomography via Implicit Neural Representation
par: Zhao, Shihan, et autres
Publié: (2025)

JVLGS: Joint Vision-Language Gas Leak Segmentation
par: Zhao, Xinlong, et autres
Publié: (2025)

Generalization Capabilities of Neural Cellular Automata for Medical Image Segmentation: A Robust and Lightweight Approach
par: Korevaar, Steven, et autres
Publié: (2024)

Remote SAMsing: From Segment Anything to Segment Everything
par: de Carvalho, Osmar Luiz Ferreira, et autres
Publié: (2026)

A Deep Learning-Enhanced Fourier Method for the Multi-Frequency Inverse Source Problem with Sparse Far-Field Data
par: Chen, Hao, et autres
Publié: (2026)

Lightweight MRI-Based Automated Segmentation of Pancreatic Cancer with Auto3DSeg
par: Jha, Keshav, et autres
Publié: (2025)

How Well Do Vision-Language Models Understand Sequential Driving Scenes? A Sensitivity Study
par: Brusnicki, Roberto, et autres
Publié: (2026)

Advancing Brain Tumor Segmentation via Attention-based 3D U-Net Architecture and Digital Image Processing
par: Gad, Eyad, et autres
Publié: (2025)

A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver
par: Kopriva, Ivica, et autres
Publié: (2024)

Prompt-to-prescription: towards generative design of diffraction-limited refractive optics
par: Maman, Roy, et autres
Publié: (2026)

Image steganography based on generative implicit neural representation
par: Yangjie, Zhong, et autres
Publié: (2024)

Fine-grained spatial-temporal perception for gas leak segmentation
par: Zhao, Xinlong, et autres
Publié: (2025)

Foam Segmentation in Wastewater Treatment Plants: A Federated Learning Approach with Segment Anything Model 2
par: Duman, Mehmet Batuhan, et autres
Publié: (2025)

Interactive Image Selection and Training for Brain Tumor Segmentation Network
par: Cerqueira, Matheus A., et autres
Publié: (2024)

OPENXRD: A Comprehensive Benchmark Framework for LLM/MLLM XRD Question Answering
par: Vosoughi, Ali, et autres
Publié: (2025)

Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer
par: Li, Mingda, et autres
Publié: (2024)

An alternative formulation of attention pooling function in translation
par: Conti, Eddie
Publié: (2024)

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
par: Liu, Linyu, et autres
Publié: (2024)

Performance Decay in Deepfake Detection: The Limitations of Training on Outdated Data
par: Richings, Jack, et autres
Publié: (2025)

Pay Attention to What You Need
par: Gao, Yifei, et autres
Publié: (2023)

A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
par: Käppel, Martin, et autres
Publié: (2025)

Forging GEMs: Advancing Greek NLP through Quality-Based Corpus Curation
par: Apostolopoulou, Alexandra, et autres
Publié: (2025)

Z-Order Transformer for Feed-Forward Gaussian Splatting
par: Wang, Can, et autres
Publié: (2026)

EatGAN: An Edge-Attention Guided Generative Adversarial Network for Single Image Super-Resolution
par: Rao, Penghao, et autres
Publié: (2025)

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models
par: Rakib, Mazharul Islam, et autres
Publié: (2025)

Isolated Sign Language Recognition with Segmentation and Pose Estimation
par: Perkins, Daniel, et autres
Publié: (2025)

UESA-Net: U-Shaped Embedded Multidirectional Shrinkage Attention Network for Ultrasound Nodule Segmentation
par: Shi, Tangqi, et autres
Publié: (2025)

Generating Diverse Agricultural Data for Vision-Based Farming Applications
par: Cieslak, Mikolaj, et autres
Publié: (2024)

LAESI: Leaf Area Estimation with Synthetic Imagery
par: Kałużny, Jacek, et autres
Publié: (2024)

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video
par: Moore, Alexander, et autres
Publié: (2025)