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Learning to Infer Parameterized Representations of Plants from 3D Scans

Published in CVPR 2026 - IEEE International Conference on Computer Vision and Pattern Recognition, 2026, Denver, United States., 2025

This paper is about learning a parametric representation of 3D plants from scans. The learned representation encodes the plant’s structure and geometry and allows for multiple downstream tasks.

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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