论文标题
从巴黎到柏林：发现世界各地的时尚风格影响
From Paris to Berlin: Discovering Fashion Style Influences Around the World
论文作者
论文摘要
服装风格的演变及其在世界范围内的迁移很有趣，但很难定量描述。我们建议发现并量化穿着衣服的人们的日常形象的时尚影响。我们介绍了一种方法，该方法检测哪些城市在传播风格方面影响其他城市。然后，我们利用发现的影响模式来告知一个预测模型，该模型可以预测任何给定城市中任何给定风格在未来的普及。用Geostyle展示我们的想法---一个涵盖44个主要城市的770万图像的大规模数据集，我们介绍了发现的影响关系，揭示了城市如何对50种观察到的视觉风格的阵列发挥时尚影响。此外，提出的预测模型可为具有挑战性的风格预测任务实现最新的结果，从而在空间和时间上展示了接地视觉样式进化的优势。
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.
