aminK8/TaxaDiffusion
[ICCV 2025] Official PyTorch implementation for paper "TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation"
This project helps researchers and educators generate realistic images of biological species, even those with very subtle visual differences. By leveraging hierarchical taxonomic data, it takes a species name (e.g., specific fish or insect) and produces high-quality, biologically accurate images. It's designed for biologists, ecologists, and zoologists who need to create diverse image datasets for research or educational materials.
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Use this if you need to synthesize diverse, high-fidelity images of specific plant or animal species, especially when real-world image collection is challenging or insufficient.
Not ideal if you need to generate images of general objects, abstract concepts, or non-biological entities, as it's specifically designed for fine-grained biological species.
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Python
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Last pushed
Jun 25, 2025
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