Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network
Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang · 2021
Fashion is more than Paris runways. Fashion is about how people express their interests, identity, mood, and cultural influences. Given an inventory of candidate garments from different categories, how to assemble them together would most improve their fashionability? This question presents an intriguing visual recommendation challenge to automatically create capsule wardrobes. Capsule wardrobe generation is a complex combinatorial problem that requires the understanding of how multiple visual items interact. The generative process often needs fashion experts to manually tease the combinations out, making it hard to scale.