Computational Vegetation Lab
  • Overview
  • Research
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  • B. Benes

Research areas

3D Reconstruction 3D ReconstructionAI-based reconstruction of trees from photographs, point clouds, and inverse procedural models — recovering a digital twin that can be regrown. Crops in Silico Crops in SilicoMultiscale models of crops, 3D reconstruction for phenotyping, and linking genetic traits to plant architecture. Deep Neural Models Deep Neural ModelsEncoding tree structure and behavior as deep neural models — a latent space for generating novel trees and reconstructing real ones. Simulation & Physics Simulation & PhysicsDevelopmental models and the physics of vegetation — response to wind, climbing plants, and environmentally adaptive "plastic" trees. Ecosystems & Urban Forests Ecosystems & Urban ForestsAuthoring whole landscapes, simulating ecosystems, and locating trees in urban environments as a special kind of ecosystem. Orchards & IMApple Orchards & IMAppleSource–sink developmental models of apple trees and automatic pruning optimization to maximize light intake. Validation ValidationICTree — the first perceptual model for assessing the realism of tree models, trained on a million user evaluations.

© 2026 Bedrich Benes.
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Based on layout of Allan's Lab.

Contact:
Room 3181 Lawson Building,
Purdue University
305 N University St.,
West Lafayette, IN, 47907-2021
USA (Map)