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 …

Many classical parametric 3D shape models exist, but creating novel shapes with such
models requires expert knowledge of their parameters. For example, imagine creating a …

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 …

We present VRTree, an example‐based interactive virtual reality (VR) system designed to
efficiently create diverse 3D tree models while faithfully preserving botanical characteristics …

We introduce a neuro-symbolic transformer-based model that converts flat, segmented
facade structures into procedural definitions using a custom-designed split grammar. To …

Robotic branch pruning, a rapidly growing field addressing labor shortages in agriculture,
requires detailed perception of branch geometry and topology. However, point clouds …

We introduce RGB2Point, an unposed single-view RGB image to a 3D point cloud
generation based on Transformer. RGB2Point takes an input image of an object and …

Robotic branch pruning is a significantly growing research area to cope with the shortage of
labor force in the context of agriculture. One fundamental requirement in robotic pruning is …