用AI生成高质量穿搭推荐与展示图，提升电商购物体验。
TrendGen: An Outfit Recommendation and Display System
- 基于服装图像和属性生成符合潮流趋势的搭配方案
- 利用生成式AI将杂乱照片转为清晰平铺展示图
- 已在主流电商平台落地，效果稳定且真实可用
计算机视觉的进步显著提升了图像理解与生成能力，推动了时尚产业变革。然而，原始图像中光照不均、衣物角度不佳、背景复杂及遮挡等问题仍制约其实际应用。本文提出TrendGen——一个面向在线购物的时尚AI系统，通过分析服装图像与商品属性，生成契合潮流趋势的连贯穿搭建议。同时，该系统采用生成式AI将原始图像转换为高质量平铺视图，实现服饰的清晰结构化呈现。在生产数据上的评估表明，TrendGen能持续输出高质量穿搭与展示图，标志着时尚零售中AI解决方案的重要进展。
原文摘要 · Abstract (English)
Recent advances in Computer Vision have significantly improved image understanding and generation, revolutionizing the fashion industry. However, challenges such as inconsistent lighting, non-ideal garment angles, complex backgrounds, and occlusions in raw images hinder their full potential. Overcoming these obstacles is crucial for developing robust fashion AI systems capable of real-world applications. In this paper, we introduce TrendGen, a Fashion AI system designed to enhance online shopping with intelligent outfit recommendations. Deployed on a major e-commerce platform, TrendGen leverages cloth images and product attributes to generate trend-aligned, cohesive outfit suggestions. Additionally, it employs Generative AI to transform raw images into high-quality lay-down views, offering a clear and structured presentation of garments. Our evaluation on production data demonstrates TrendGen's consistent high-quality outfits and lay-down images, marking a significant advancement in AI-driven solutions for fashion retail.
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