Finally, an effective multiple entities' retrieval method is used to handle the 3D model retrieval problem. More specifically, the 3D shape knowledge graph retains the basic structural information and ...

Due to their geometric complexity, reconstructing 3D tree models is a challenging problem. In this paper, we propose an approach to reconstruct 3D tree models using only a single image of trees ...

In this work, we propose the Multi-level Graph Convolutional Neural Network (MLGCN), an ultra-efficient model for 3D point cloud analysis. The MLGCN model utilizes shallow Graph Neural Network (GNN) ...

This repository contains a more advanced 3D modeling system, which enables users to intuitively manipulate a so-called Modular Graph to easily design and obtain diverse 3D plant models.

Traditional tree modeling methods such as Rule-based modeling, Image-based modeling, and Sketch-based modeling each have their strengths and weaknesses. This project introduces a novel approach - ...

A graph-based approach for simultaneous semantic and instance segmentation of plant 3D point clouds Katia Mirande 1,2 Christophe Godin 1* Marie Tisserand 1 Julie Charlaix 1 Fabrice Besnard 1 Franck ...

Sanfordiacaulis model with simplified branching structure for easier visualization. Credit: Tim Stonesifer A rare 3D fossilized tree is shedding new light on the evolution of early plant life in New ...