The evolution of clothing styles and their migration across the world is intriguing, yet difficult to describe quantitatively. We propose to discover and quantify fashion influences from everyday images of people wearing clothes. We introduce an approach that detects which cities influence which other cities in terms of propagating their styles. We then leverage the discovered influence patterns to inform a forecasting model that predicts the popularity of any given style at any given city into the future. Demonstrating our idea with GeoStyle---a large-scale dataset of 7.7M images covering 44 major world cities, we present the discovered influence relationships, revealing how cities exert and receive fashion influence for an array of 50 observed visual styles. Furthermore, the proposed forecasting model achieves state-of-the-art results for a challenging style forecasting task, showing the advantage of grounding visual style evolution both spatially and temporally.

中文翻译：

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从巴黎到柏林：发现世界各地的时尚风格影响

服装款式的演变及其在世界范围内的迁移很有趣，但很难定量描述。我们建议从人们穿着衣服的日常图像中发现和量化时尚影响。我们引入了一种方法，可以检测哪些城市在传播风格方面会影响哪些其他城市。然后，我们利用发现的影响模式为预测模型提供信息，该模型可以预测任何给定城市的任何给定风格在未来的流行度。使用 GeoStyle 展示我们的想法——一个覆盖 44 个世界主要城市的 770 万张图像的大型数据集，我们展示了发现的影响关系，揭示了城市如何对 50 种观察到的视觉风格施加和接收时尚影响。此外，