Publications associées à LightWave 3D

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

We propose two deep learning models that fully automate shape parameterization for aerodynamic shape optimization. Both models are optimized to parameterize via deep geometric learning to embed human prior knowledge into learned geometric patterns, elimina ...

2023

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Frédéric Kaplan, Isabella Di Lenardo, Rémi Guillaume Petitpierre, Beatrice Vaienti

The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

2023

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

Edoardo Remelli

In this thesis, we advocate that Computer-Aided Engineering could benefit from a Geometric Deep Learning revolution, similarly to the way that Deep Learning revolutionized Computer Vision. To do so, we consider a variety of Computer-Aided Engineering pr ...

EPFL2022

Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies

Henry Markram, Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Juan Bautista Hernando Vieites, Stefan Eilemann, Nicolas Antille

Background: We present a software workflow capable of building large scale, highly detailed and realistic volumetric models of neocortical circuits from the morphological skeletons of their digitally reconstructed neurons. The limitations of the existing a ...

2017

In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry

Marwan Muhammad Ahmed Abdellah

The recent years have witnessed growing interest in the power of scientific visualization for simulation-based neuroscience. The research presented in this thesis develops methods to generate physically-realistic visualizations of neocortical models recons ...

EPFL2017

Realtime Deformation of Constrained Meshes Using GPU

Bailin Deng, Alexandre Kaspar

Constrained meshes play an important role in freeform architectural design, as they can represent panel layouts on freeform surfaces. It is challenging to perform realtime manipulation on such meshes, because all constraints need to be respected during the ...

2013

3D Architecture and Replaceable Layers for Label-Free DNA Biochips

Sandro Carrara, Andrea Cavallini, Yusuf Leblebici, Yüksel Temiz

Recent advances in bio-sensing technologies have led to design of bio-sensor arrays for rapid identification and quantification of various biological agents such as drugs, gene expressions, proteins, cholesterol, fats, etc. Various dedicated sensing arrays ...

2009

An all-in-one solution to geometric and photometric calibration

Pascal Fua, Vincent Lepetit, Julien Pilet, Pascal Lagger, Andreas Geiger

We propose a fully automated approach to calibrating multiple cameras whose fields of view may not all overlap. Our technique only requires waving an arbitrary textured planar pattern in front of the cameras, which is the only manual intervention that is r ...

2006