Buddhi19/SyntheticGen

[IGARSS 2026] Generates synthetic image–mask pairs by denoising joint latents conditioned on a real input image (VAE) and a class prompt (CLIP), enabling targeted oversampling of minority classes (e.g., barren) for LoveDA semantic segmentation.

43
/ 100
Emerging
No Package No Dependents
Maintenance 13 / 25
Adoption 5 / 25
Maturity 13 / 25
Community 12 / 25

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Stars

11

Forks

2

Language

Python

License

MIT

Last pushed

Apr 06, 2026

Commits (30d)

0

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