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[2602.13349] From Prompt to Production:Automating Brand-Safe Marketing Imagery with Text-to-Image Models
Summary
This paper discusses a new automated pipeline for generating brand-safe marketing imagery using text-to-image models, balancing automation and human oversight to enhance image quality and fidelity.
Why It Matters
As businesses increasingly rely on visual content for marketing, this research addresses the challenges of scaling image production while ensuring quality. The proposed solution could significantly streamline marketing processes, making it relevant for companies looking to enhance their branding efforts through automation.
Key Takeaways
- Introduces an automated pipeline for generating marketing images.
- Achieves a 30.77% increase in marketing object fidelity.
- Demonstrates a 52% increase in human preference for generated images.
- Highlights the importance of balancing automation with human oversight.
- Addresses scalability challenges in deploying text-to-image models.
Computer Science > Computer Vision and Pattern Recognition arXiv:2602.13349 (cs) [Submitted on 12 Feb 2026] Title:From Prompt to Production:Automating Brand-Safe Marketing Imagery with Text-to-Image Models Authors:Parmida Atighehchian, Henry Wang, Andrei Kapustin, Boris Lerner, Tiancheng Jiang, Taylor Jensen, Negin Sokhandan View a PDF of the paper titled From Prompt to Production:Automating Brand-Safe Marketing Imagery with Text-to-Image Models, by Parmida Atighehchian and 6 other authors View PDF HTML (experimental) Abstract:Text-to-image models have made significant strides, producing impressive results in generating images from textual descriptions. However, creating a scalable pipeline for deploying these models in production remains a challenge. Achieving the right balance between automation and human feedback is critical to maintain both scale and quality. While automation can handle large volumes, human oversight is still an essential component to ensure that the generated images meet the desired standards and are aligned with the creative vision. This paper presents a new pipeline that offers a fully automated, scalable solution for generating marketing images of commercial products using text-to-image models. The proposed system maintains the quality and fidelity of images, while also introducing sufficient creative variation to adhere to marketing guidelines. By streamlining this process, we ensure a seamless blend of efficiency and human oversight, achieving a ...
