4 papers
Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models
Yexing Xu, Wei Feng, Shen Zhang +15
Generating realistic and user-preferred advertisements is a key challenge in e-commerce. Existing approaches utilize multiple independent models driven by click-through-rate (CTR)…
One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generation
Shuo Lu, Haohan Wang, Wei Feng +14
Advertising image generation has increasingly focused on online metrics like Click-Through Rate (CTR), yet existing approaches adopt a ``one-size-fits-all" strategy that optimizes…
CTR-Driven Advertising Image Generation with Multimodal Large Language Models
Xingye Chen, Wei Feng, Zhenbang Du +16
In web data, advertising images are crucial for capturing user attention and improving advertising effectiveness. Most existing methods generate background for products primarily f…
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style
Haohan Wang, Wei Feng, Yaoyu Li +5
The state-of-the-art methods for e-commerce product background generation suffer from the inefficiency of designing product-wise prompts when scaling up the production, as well as…