Tous les articles par Laurent Lescop

Laurent Lescop Architecte dplg - docteur es Sciences Enseignant ENSAN

Grasshopper – Swordfish tutorial – 01

Introduction

Grasshopper

Grasshopper est un plugin de modélisation paramétrique pour Rhinoceros 3D. Il permet de générer des formes complexes à l’aide d’une approche visuelle basée sur des nœuds et des connexions, plutôt que par des scripts de programmation. Très utilisé en architecture, en design et en ingénierie, il offre une grande flexibilité pour la conception et l’optimisation des formes.

Swordfish

Swordfish est un outil de calcul et d’analyse spécialisé pour l’architecture navale. Il permet d’évaluer la stabilité, la résistance structurelle et la performance hydrodynamique des navires. Son intégration avec Grasshopper permet une approche paramétrique de la conception navale, facilitant l’exploration de multiples itérations et optimisations. A télécharger ici. Continuer la lecture de Grasshopper – Swordfish tutorial – 01

Grasshopper, simple small boat

Grasshopper Creating a small boat
This workflow begins by defining the boat’s hull geometry through NURBS curves using Grasshopper’s Interpolate Curve or Control Points components, allowing parametric adjustment of shape via sliders. Next, a series of these curves are lofted with the Loft component to generate a smooth, continuous surface. Symmetry is enforced using the Mirror component along the longitudinal axis, ensuring bilateral consistency, while Merge unifies the halves into a cohesive Brep. Parametric sliders dynamically adjust key variables.

Continuer la lecture de Grasshopper, simple small boat

IA-project workflow part10

Image to 3D

Trellis

A novel 3D generation method is introduced, enabling versatile and high-quality 3D asset creation. At its core is a unified Structured LATent (SLAT) representation, which supports decoding into multiple output formats, including Radiance Fields, 3D Gaussians, and meshes. This is achieved by combining a sparsely-populated 3D grid with dense multiview visual features extracted from a robust vision foundation model, effectively capturing both structural (geometry) and textural (appearance) information while preserving decoding flexibility.

Structured 3D Latents for Scalable and Versatile 3D Generation (https://trellis3d.github.io/) Continuer la lecture de IA-project workflow part10