DeepCAD: A Deep Generative Network for Computer-Aided Design Models

Deep generative models of 3D shapes have received a great deal of research interest. Yet, almost all of them generate discrete shape representations, such as voxels, point clouds, and polygon meshes. We present the first 3D generative model for a drastically different shape representation- describin...

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Bibliographic Details
Main Authors: Wu, Rundi, Xiao, Chang, Zheng, Changxi
Format: Conference Proceeding
Language:English
Subjects:
3D from a single image and shape-from-x
Computational modeling
Computer vision
Datasets and evaluation
Design automation
Neural generative models
Point cloud compression
Representation learning
Shape
Solid modeling
Three-dimensional displays
Online Access:Request full text
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