LFINet: Linguistic Semantics Fused Chain-of-Thought Diffusion Model for Realistic Tree Sample Generation from Aerial Imagery
Abstract
A lightweight image–text corpus tailored for forestry applications, designed to train both CLIP-style vision–language models and text-conditioned diffusion models. Each sample consists of an RGB tree image paired with a natural-language caption that captures key visual, structural, and phenological characteristics of the tree canopy.
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