详细信息
- 来源站点
- ArXiv CS.CV
- 作者
- Zhihong Liu, Siqi Kou, Zheng Li, Ye Ma, Quan Chen, Peng Jiang, Kai Yu, Zhijie Deng
- 文章类型
- NEWS
- 语言
- en
- 发布日期
- 2026-06-02
摘要
arXiv:2606.01022v1 Announce Type: new Abstract: Crafting a product display webpage from a source product image, along with layout and visual content instructions, holds significant practical value for domains such as marketing, advertising, and E-commerce. Intuitively, this task demands strict visual consistency across product displays and high-fidelity instruction following to jointly generate renderable HTML code. These requirements on controllability and instruction-following are closely aligned with the core features of advanced multimodal generative models, such as image editing models and unified models. To this end, this paper introduces ProductWebGen to systematically benchmark the product webpage generation capacities of these models. We organize ProductWebGen with 500 test samples covering 13 product categories; each sample consists of a source image, a visual content instruction, and a webpage instruction.