Accurate point-cloud segmentation of cotton organs is essential for precise phenotypic characterization. However, reliable instance segmentation of cotton bolls in field-derived point clouds remains challenging because foliage occlusion, contact between adjacent bolls and incomplete reconstruction obscure instance boun...
Canopy 3D architecture is a critical determinant of light interception, photosynthetic efficiency, and final yield in cotton, yet its rapid and accurate characterisation remains challenging in field conditions. To achieve efficient, non-destructive, and quantitative monitoring of the canopy structure of field-grown cot...
This work proposes a novel training-sampling approach for single-image multi-scale diffusion models that enables consistent and joint sampling of image sequences and introduces a Laplacian-recomposition sampling algorithm to enforce multi-scale consistency.
Hao Qiu, M. Shell· 0 citations
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