This paper explores human-directed generative AI workflows for product photography, focusing on transfer-based visual methods that integrate real product photography with AI-generated environments. The study examines how reference images, prompt engineering, and iterative camera-angle synthesis enable controlled, brand-consistent visual outcomes while significantly reducing production costs and time. The proposed workflow positions AI as a collaborative tool rather than an autonomous creator, emphasizing the role of human artistic direction in concept development, aesthetic decision-making, and final image selection. Practical case studies demonstrate the applicability of these methods for commercial and creative product visualization.
Oksana Bondarieva (Thu,) studied this question.