mlsanityData to 7 Oct 2026

TrendGen: An Outfit Recommendation and Display System

arXiv 2603.27264 ↗First posted 28 Mar 2026cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 31 of its 59 references that are in the map. First posted on arXiv 28 Mar 2026.

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References · 31

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19 more
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