Publications related to Constructive solid geometry

Annalisa Buffa, Pablo Antolin Sanchez, Emiliano Cirillo

Region extraction is a very common task in both Computer Science and Engineering with several applications in object recognition and motion analysis, among others. Most of the literature focuses on regions delimited by straight lines, often in the special ...

2023

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

Pascal Fua, Nicolas Talabot, Subeesh Vasu, Artem Lukoianov

Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives are particularly good at. In this paper, we propose a representation combinin ...

2022

Dynamics of entrapped microbubbles with multiple openings

Mahmut Selman Sakar, Murat Kaynak, Amit Yedidia Dolev

Microbubbles excited by acoustic fields inside water oscillate, and generate acoustic radiation forces and drag-induced acoustic streaming. These forces can be harnessed in various biomedical applications such as targeted drug delivery and on-chip biomanip ...

2022

Differentiable Signed Distance Function Rendering

Wenzel Alban Jakob, Delio Aleardo Vicini, Sébastien Nicolas Speierer

Physically-based differentiable rendering has recently emerged as an attractive new technique for solving inverse problems that recover complete 3D scene representations from images. The inversion of shape parameters is of particular interest but also pose ...

ASSOC COMPUTING MACHINERY2022

Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries

Annalisa Buffa, Pablo Antolin Sanchez, Margarita Chasapi

This contribution explores the combined capabilities of reduced basis methods and IsoGeometric Analysis (IGA) in the context of parameterized partial differential equations. The introduction of IGA enables a unified simulation framework based on a single g ...

2022

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

Angelos Katharopoulos, Andreas Geiger, Despoina Paschalidou

Impressive progress in 3D shape extraction led to representations that can capture object geometries with high fidelity. In parallel, primitive-based methods seek to represent objects as semantically consistent part arrangements. However, due to the simpli ...

IEEE COMPUTER SOC2021

2d-3d sculpture paintings

Sabine Süsstrunk, Roger Hersch, Mahmut Sami Arpa

We disclose a method for synthesizing by computer an artwork where 2D and 3D contents are integrated within a same composition. Such an artwork creates plausible effects for the viewers by showing a different relationship between 2D and 3D at each viewing ...

2020

A framework to automate the design of digitally-fabricated timber plate structures

Yves Weinand, Petras Vestartas, Nicolas Henry Pierre Louis Rogeau, Aryan Rezaei Rad, Henry V. Burton

The current study uses knowledge from digital architecture, computer science, engineering informatics, and structural engineering to formulate an algorithmic framework for integrated Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE) of Integ ...

2020

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Constructive solid geometry

Region Extraction in Mesh Intersection

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

Dynamics of entrapped microbubbles with multiple openings

Differentiable Signed Distance Function Rendering

Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

Tessellation and lmprovement of Simplicial Meshes using Neural Networks

2d-3d sculpture paintings

A framework to automate the design of digitally-fabricated timber plate structures

Graph Chatbot

Chat with Graph Search

Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries

Region Extraction in Mesh Intersection

Tessellation and lmprovement of Simplicial Meshes using Neural Networks

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

2d-3d sculpture paintings

A framework to automate the design of digitally-fabricated timber plate structures