Latest Articles for Reconstruction

Study examines how cosmological choices affect BAO measurements and insights into dark energy.

New method enhances the analysis of jump-diffusion processes through neural networks.

Context-aware neural translation models enhance accuracy through multi-task learning.

A new method refines document retrieval for better language model accuracy.

Neural varifolds improve the analysis of 3D point clouds for various applications.

This paper presents a method for processing radio telescope data efficiently.

New methods for accurately estimating functions using rank-1 lattices are introduced.

New method enhances image generation from limited examples.

Neural models help restore damaged Coptic manuscripts with missing text.

New methods improve identification and analysis of tau leptons in particle physics.

Research reveals similarities in image models' internal representations.

New method enhances MRI images by showing uncertainty in reconstructions.

New methods improve thermal imaging for various applications.

This study reveals new methods for reconstructing training data from high-resolution images.

New technology enhances remote robot control and visualization.

A new method enhances seismic imaging by reconstructing missing data effectively.

A new approach enhances the quality of MR images while reducing collection time.

Music2Latent simplifies audio compression while maintaining high quality for various applications.

A novel approach encodes and reconstructs sensory signals using spike trains.

This article examines the effectiveness of image-based 3D models in pose estimation.

This article examines methods for studying galaxy movements and their implications for the universe's structure.

A new method improves ptychography image quality and speeds up reconstruction.

A new method focuses on local patterns for better 3D reconstruction accuracy.

Learn how to sample graph signals effectively while maintaining accuracy.

New method improves clarity of low-dose PET scans using deep learning and MRI.

A new technique improves clarity in X-ray images of bones, aiding diagnosis.

A new method enables robots to create 3D models from a single image.

New methods improve the accuracy of sensor data collection and reconstruction.

A new framework improves understanding of human actions through skeleton data.

New techniques aim to improve prostate cancer treatment through data-driven models.

A new method improves 3D reconstruction of people in loose garments.

This method improves image quality in compressed sensing using adaptive techniques.

Researchers enhance particle modeling techniques using machine learning methods.

New method improves MRI image quality and speed.

This study assesses the effectiveness of pre-trained models in Earth Observation applications.

Learn about how to reconstruct neural networks and its implications.

Strategies to safeguard images from unauthorized reconstruction.

A novel approach addresses challenges in 3D modeling of transparent materials.

Scientists aim to identify particles accurately from high-speed collisions.

Exploring new methods for data reconstruction in advanced neural networks.