Lewis-Stuart-11/3D-Plant-View-Synthesis
Main repo for the running/training on the dataset presented in 'High-fidelity Wheat Plant Reconstruction using 3D Gaussian Splatting and Neural Radiance Fields'
This project helps plant scientists and agricultural researchers reconstruct highly detailed 3D models of wheat plants from standard camera images. By processing image sequences and their associated camera positions, it generates a full 3D representation of the plant, which can then be used for analysis or visualization. This tool is ideal for researchers studying plant growth, health, or architecture.
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Use this if you need to create accurate, high-fidelity 3D models of wheat plants from image data, without needing to manually generate the complex 3D structures yourself.
Not ideal if you are looking for a solution for real-time plant monitoring in fields or need 3D models of plants other than wheat, as the dataset is specifically for wheat plants.
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16
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4
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 10, 2025
Commits (30d)
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