Add to ORKGThe ability to give simple but representative descriptions of complex shapes, known as shape abstraction, is a useful tool in computer science. An unsupervised deep neural network that predicts a set of primitive shapes to describe an arbitrary three-dimensional input shape is constructed and trained on airplane and chair models. The network is based on the research paper by D. Paschalidou et al., with a few modifications to rectify unsatisfactory results. The network is able to predict sets of primitives that resemble the shape of the input. However, the sets of primitives are not parsimonious, i.e. several primitives may be used to describe the same part of an object. A remedy for this problem is proposed through an addition of a punishin...
This thesis explores the challenge of teaching a machine how to perceive shape from surface contour ...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
Shape descriptor is a concise yet informative represen-tation that provides a 3D object with an iden...
The ability to give simple but representative descriptions of complex shapes, known as shape abstrac...
Impressive progress in 3D shape extraction led to representations that can capture object geometries...
The objective of the proposed thesis is to illustrate the idea of using synthetic data and deep netw...
Graduation date:2017Reasoning about 3D shape of objects is important for successful computer vision\...
Man-made objects are ubiquitous in the real world and in virtual environments. While such objects c...
Digital representations of 3D shapes are becoming increasingly useful in several emerging applicatio...
We study the problem of learning generative models of 3D shapes. Voxels or 3D parts have been widely...
We present a learning framework for abstracting complex shapes by learning to assemble objects using...
This paper proposes a novel approach for the classification of 3D shapes exploiting deep learning te...
International audienceWe present a novel method for computing correspondences across 3D shapes using...
Implicit shape representations, such as Level Sets, provide a very elegant formulation for performin...
The goal of this study is to determine the effectiveness of different 3D shape representations in le...
This thesis explores the challenge of teaching a machine how to perceive shape from surface contour ...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
Shape descriptor is a concise yet informative represen-tation that provides a 3D object with an iden...
The ability to give simple but representative descriptions of complex shapes, known as shape abstrac...
Impressive progress in 3D shape extraction led to representations that can capture object geometries...
The objective of the proposed thesis is to illustrate the idea of using synthetic data and deep netw...
Graduation date:2017Reasoning about 3D shape of objects is important for successful computer vision\...
Man-made objects are ubiquitous in the real world and in virtual environments. While such objects c...
Digital representations of 3D shapes are becoming increasingly useful in several emerging applicatio...
We study the problem of learning generative models of 3D shapes. Voxels or 3D parts have been widely...
We present a learning framework for abstracting complex shapes by learning to assemble objects using...
This paper proposes a novel approach for the classification of 3D shapes exploiting deep learning te...
International audienceWe present a novel method for computing correspondences across 3D shapes using...
Implicit shape representations, such as Level Sets, provide a very elegant formulation for performin...
The goal of this study is to determine the effectiveness of different 3D shape representations in le...
This thesis explores the challenge of teaching a machine how to perceive shape from surface contour ...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
Shape descriptor is a concise yet informative represen-tation that provides a 3D object with an iden...