Digital try-on systems for e-commerce have the potential to change people's lives and provide notable economic benefits. However, their development is limited by practical constraints, such as accurate sizing of the body and realism of demonstrations. We enumerate three open challenges remaining for a complete and easy-to-use try-on system that recent advances in machine learning make increasingly tractable. For each, we describe the problem, introduce state-of-the-art approaches, and provide future directions.

中文翻译：

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机器学习进行数字试穿：挑战与进步

电子商务的数字试穿系统具有改变人们生活并提供显着经济利益的潜力。但是，它们的发展受到实际约束的限制，例如，身体的准确尺寸和演示的真实性。我们列举了一个完整且易于使用的试穿系统所面临的三个开放挑战，而机器学习的最新进展使该系统变得越来越容易处理。对于每个问题，我们都将描述问题，介绍最新的方法并提供未来的方向。