Work

Generative AI in Product Photography: Human-Directed Transfer-Based Visual Workflows

Year: 2026

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18343668

Author: Bondarieva, Oksana

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7125368060

FWCI:

Cites:

Cited by:

Related to: