Automated camouflage pattern design based on conditional generative adversarial network and image quilting (opens in new tab)

The rapid advancement of reconnaissance technologies has posed significant challenges to traditional camouflage design. To address the limitations of manual dependency, poor environmental adaptability, and insufficient coverage for large targets, this study proposes an automated camouflage pattern design method that integrates a Conditional Generative Adversarial Network (CGAN) with image quilting. Background images are used as conditions for the CGAN to generate initial textures. Dominant co...