On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models PDF

1 nov. 2019 Recovering the lost dimension from just 2D images has been the goal of classic ... various deep learning-based 3D reconstruction algorithms.

Voxel-Based 3D Object Reconstruction from Single 2D Image Using

17 sept. 2021 ment in machine learning techniques several successful attempts have been made for 3D reconstruction directly from 2D images using ...

Automatic segmentation of the cerebral ventricle in neonates using

using a deep learning approach after reconstruction of 3D images from stacks of 2D freehand angular sweep. The segmentation of the CVS obtained is fast and

Deep Learning for 3D Toward Surface Generation

What kind of data/sensor is relevant as input for 3d reconstruction ? Use state-of-the-art 2D ... "Deep residual learning for image recognition.

3D Shape Reconstruction from a Single 2D Image via 2D-3D Self

29 nov. 2018 Aiming at inferring 3D shapes from 2D images 3D shape reconstruction has drawn ... searchers in computer vision and deep learning communi-.

End-To-End 3D Face Reconstruction With Deep Neural Networks

Monocular 3D facial shape reconstruction from a single. 2D facial image has been an active research area due to its wide applications.

Learning Pose-invariant 3D Object Reconstruction from Single-view

With the success of deep neural networks more and more work tries to learn 3D shape priors [40] from 3D data or di- rectly learns the mapping from 2D image to

3D Shape Reconstruction From 2D Images With Disentangled

Reconstructing a 3D shape from a 2D image (2D-to-3D reconstruction) is a Learning deep implicit functions for 3D shapes with dynamic code clouds.