3D Tree

3D tree modeling is a rapidly advancing field focused on creating realistic, detailed three-dimensional representations of trees for various applications. Current research emphasizes developing efficient methods for generating these models from diverse data sources, including single images, LiDAR point clouds, and even stylized sketches, employing techniques like diffusion models, neural radiance fields, and graph convolutional networks to capture complex branching structures and environmental influences. These advancements are significantly impacting fields like forestry (e.g., improved forest monitoring and management), computer graphics (e.g., realistic scene generation), and robotics (e.g., enabling autonomous manipulation of vegetation). The development of large, high-quality synthetic datasets is also a key area of focus, facilitating the training and evaluation of advanced 3D tree models.