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Author

Gabriel Hermosilla

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Open access Sep 2026

Conditional Deep Convolutional GAN for the Design of High-Performance Periodic Absorber Metasurfaces

This work presents a conditional deep convolutional generative adversarial network (CDCGAN) for the inverse design of high-absorptance periodic metasurfaces (MSs) with different geometries. The conditioning mechanism encodes geometric and spectral parameters. A key innovation is the inclusion of unit cells with differe...

Jorge Cárdenas, Gabriel Hermosilla, F. Pizarro · 0 citations
Open access 2026

Thermal Face Recognition From Synthetic Data: FLUX.1 Kontext Image-to-Image Adaptation and Cross-Sensor Evaluation

This work investigates whether a generative foundation model can be adapted with very few samples to produce identity-preserving thermal faces from visible images, and whether such synthetic data can train recognizers that remain effective on real thermal imagery.

Gabriel Hermosilla, Ashley Jara, Gabriel Olmos et al. · 0 citations

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