Deep3D: Fully Automatic 2D-to-3D Video Conversion - AWS
Cité 284 fois — takes 2D images or video frames as input and outputs stereo 3D image pairs The stereo images per we propose to use deep neural networks to automatically convert 2D videos and
3D model reconstruction from single & multiple images
arning for 3D reconstruction ○ Background: deep neural nets □ CNN □ RNN (LSTM)
Performance evaluation of 2D and 3D deep learning
Cité 12 fois — used 2D- and 3D deep convolutional neural networks (CNN) without- and with a pre-processing step Keywords: 3D CT images, anatomical structure segmentation, deep learning, 3D
FusionNet: 3D Object Classification Using Multiple Data
Cité 168 fois — Some of the best deep learning architectures for classifying 3D CAD models use Convolutional Neural Therefore, features useful for 2D image classification might not necessarily be
Perspective Transformer Nets: Learning Single-View 3D Object
from a single 2D image with three sets of experiments: (1) learning from deep generative model that extends the convolutional deep belief network [11] to model volumetric 3D
Generating 3D-objects using neural networks - DiVA
2018 — how an object from a 2D image would look in 3D The main areas that this CNN Machine learning (ML) is a subsection of artificial intelligence, it is used to enable systems to
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