NeuraLeaf: Neural parametric leaf models with shape and deformation disentanglement
We develop NeuraLeaf, the first neural parametric model for 3D leaves for plant modeling and reconstruction.
Oct 19, 2025
Masks-to-Skeleton: Multi-view mask-based tree skeleton extraction with 3D Gaussian splatting
Jul 11, 2025
Plant Twin
The ultimate goal of this research is the complete virtualization of plants from sensing data, i.e., the generation of a plant digital twin. This research focuses particularly on technical elements related to computer vision, and reproduces not only the shape of the plant from a set of images taken of the plant, but also its branch and leaf structure, time-series changes, etc., including occluded areas. The virtualized plant model enables simulation and mapping to genes, and is a powerful tool for automating cultivation and accelerating breeding. This project is in progress under the following JST grants: 2021/04-2028/03 JST FOREST “PlantTwin: Reconstructing plants for breeding and cultivation” 2017/10-2021/09 JST PRESTO “Three-dimensional plant structure modeling and lifelog generation for growth analysis and prediction in future cultivation”
Jul 1, 2025
Exploring the mechanical and morphological rationality of tree branch structure based on 3D point cloud analysis and the finite element method
Mar 8, 2022
3D modeling and reconstruction of plants and trees: A cross-cutting review across computer graphics, vision, and plant phenotyping
Feb 3, 2022
Multi-view instance matching for plant leaf modeling
Nov 30, 2020
Descriptor-free multi-view region matching for instance-wise 3D reconstruction
Nov 30, 2020
Training instance segmentation neural network with synthetic datasets for crop seed phenotyping
Apr 15, 2020
Toward 3D plant modeling of every leaf and branchlet
Oct 22, 2019
Comparison of 3D reconstructions from UAV RGB images and terrestrial LiDAR imaging for measuring architectural traits of peach trees
Oct 22, 2019