arXiv:2603.13745cs.CV2026-03

自动化生成高质家居广告图,支持多商品组合与自定义调控。

Multi-Object Advertisement Creative Generation

  • 分三模块解决商品搭配、布局与背景生成问题
  • 可批量生成高质量广告图,用户研究验证效果
  • 适合电商广告团队快速制作多场景商品图

生活类图像捕捉日常环境中的人与物。在家具营销中,广告商常通过包含产品的实景图像引发潜在买家共鸣,帮助其想象产品在生活中的使用场景。尽管生成式人工智能(GenAI)已能生成逼真图像内容,但其在电商广告中的应用仍面临挑战:高质量广告需真实呈现产品在自然场景中的表现。目前仍需人工干预逐个生成,难以扩展至大规模商品目录。为理解广告商使用GenAI规模化生成生活类图像的难点,我们评估了主流图像生成模型所产出的广告图,并识别出主要问题。基于此,我们提出CreativeAds系统,支持多产品广告的可扩展自动化生成,并提供个性化参数调节功能。为确保自动生图质量,CreativeAds设计了包含三个模块的流程,分别解决商品搭配、布局生成和背景生成的问题。系统还配备直观界面,支持规模化监控,并允许用户对单个图像进行精细化调整。我们通过用户研究与大量图像评估证明,CreativeAds可在无需GenAI专业知识的情况下,高效生成大量高质量广告图像,显著提升广告创作效率。

原文摘要 · Abstract (English)

Lifestyle images are photographs that capture environments and objects in everyday settings. In furniture product marketing, advertisers often create lifestyle images containing products to resonate with potential buyers, allowing buyers to visualize how the products fit into their daily lives. While recent advances in Generative Artificial Intelligence (GenAI) have given rise to realistic image content creation, their application in e-commerce advertising is challenging because high-quality ads must authentically representing the products in realistic scearios. Therefore, manual intervention is usually required for individual generations, making it difficult to scale to larger product catalogs. To understand the challenges faced by advertisers using GenAI to create lifestyle images at scale, we conducted evaluations on ad images generated using state-of-the-art image generation models and identified the major challenges. Based on our findings, we present CreativeAds, a multi-product ad creation system that supports scalable automated generation with customized parameter adjustment for individual generation. To ensure automated high-quality ad generation, CreativeAds innovates a pipeline that consists of three modules to address challenges in product pairing, layout generation, and background generation separately. Furthermore, CreativeAds contains an intuitive user interface to allow users to oversee generation at scale, and it also supports detailed controls on individual generation for user customized adjustments. We performed a user study on CreativeAds and extensive evaluations of the generated images, demonstrating CreativeAds's ability to create large number of high-quality images at scale for advertisers without requiring expertise in GenAI tools.

广告生成多物体生成模型电商

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