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 ...

This is a code repository for our paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks During the last two decades, forest monitoring and ...

Tree modeling has been extensively studied in computer graphics. Recent advances in the development of high-resolution sensors and data processing techniques are extremely useful for collecting 3D ...

In this paper, we propose a self-supervised deep learning method called NeCA, which is based on neural implicit representation using the multiresolution hash encoder and differentiable cone-beam ...