Design an advanced camouflage pattern generator for the AI-powered mobile application, AdaptaBlend, which provides real-time adaptive camouflage solutions for military personnel, wildlife photographers, and outdoor enthusiasts. Utilize the research on Intelligent Camouflage Creative Adversarial Networks (ICCAN) to develop an innovative system that leverages deep learning algorithms to generate dynamic and effective camouflage patterns. The AdaptaBlend camo patterns should seamlessly blend into various environments, adapting to lighting conditions, terrains, and user preferences. Consider incorporating intricate fractal geometry, vibrant color schemes, and adaptive patterns to achieve optimal concealment and visual appeal. Additionally, integrate a real-time rendering module that efficiently applies the generated camo patterns to different objects or surfaces, ensuring a seamless blend between the user and the environment. The AdaptaBlend camo patterns should be capable of continuously learning and adapting through a feedback loop, reinforcing the effectiveness of the camouflage solution. Furthermore, prioritize scalability, efficiency, and usability to provide a user-friendly experience. Your task is to develop a comprehensive blueprint for the AdaptaBlend camo pattern generator, considering the research on ICCAN and tailoring it to suit the specific requirements and capabilities of the AI-powered AdaptaBlend mobile application.

source at OpenAI