We show how a Transformer can encode hierarchical tree-like string structures by
introducing a new deep learning-based framework for generating 3D biological tree models …

Wildfires are a complex physical phenomenon that involves the combustion of a variety of
flammable materials ranging from fallen leaves and dried twigs to decomposing organic …

Abstract We introduce Tree-D Fusion, featuring the first collection of 600,000
environmentally aware, 3D simulation-ready tree models generated through Diffusion priors …

Generating realistic models of trees and plants is a complex problem because of the vast
variety of shapes trees can form. Procedural modeling algorithms are popular for defining …

Efficiently representing and reconstructing the 3D geometry of biological trees remains a
challenging problem in computer vision and graphics. We propose a novel approach for …

In this study, we introduce PlantSegNet, a novel neural network model for instance
segmentation of nearby objects with similar geometric structures. Our work addresses the …

The simulation and modelling of tree growth is a complex subject with a long history and an
important area of research in both computer graphics and botany. For more than 50 years …

Robotic harvesting has the potential to positively impact agricultural productivity, reduce
costs, improve food quality, enhance sustainability, and to address labor shortage. In the …

3D capture and characterization of plant shoot architecture is a grand challenge in plant
phenotyping research, made difficult by plants' intricate 3D shape, composed of thin and flat …

Realistic simulation of dynamic interaction between plants and different natural
environmental factors is a key topic in the field of natural landscape simulation. At present …