I-Corps: Automated Clothing Simulation and Human Avatar Generation Engine

I-Corps：自动服装模拟和人体头像生成引擎

• 批准号: 1948672
• 负责人: Douglas Schmidt
• 金额: $ 5万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2021-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948672&HistoricalAwards=false
• 关键词: Corps; Automated; Clothing; Simulation; Human

The broader impact/commercial potential of this I-Corps project is to empower retailers with tools that enable them to make a meaningful reduction in the number of returns generated from e-commerce purchases. It is anticipated that a valuable opportunity will emerge to leverage the newly generated data for better recommendation algorithms, improved forecasting, and enhanced marketing efforts. The retail industry is at a pivotal point because physical locations are becoming increasingly difficult to sustain, leading retailers to develop a stronger online presence. A major challenge preventing fashion retailers from expanding their online presence is the high rate of returns for e-commerce (30-50%) vs. in-store (8.9%) purchases. In addition to the monetary cost of returns ($40 B), there is a significant impact on the environment with billions of pounds of goods going to landfills due to returns. This I-Corps project will deliver accurate human body analogues from minimal user inputs, realistic clothing simulations from non-standardized design and manufacturing files, and an automated integration into credible fit visualizations. The technology provides 1) an automated process for turning design files into photo realistic 3D simulations, 2) an automated process for generating an accurate shadow avatar, and 3) a process by which the avatar and simulation can be combined and multiple meshes layered using position-based dynamics. The technological implementation of this team's approach utilizes deep learning and machine learning algorithms, 3D modeling, mesh generation and mapping, a custom rendering engine, and advanced fabric simulation techniques.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目更广泛的影响/商业潜力是使零售商能够使用工具，使他们能够有效减少电子商务购买产生的退货数量。预计将出现一个宝贵的机会，利用新生成的数据来改进推荐算法，改进预测和加强营销工作。零售业正处于关键时刻，因为实体店越来越难以维持，导致零售商发展更强大的在线业务。 阻碍时尚零售商扩大在线业务的一个主要挑战是电子商务的退货率（30-50%）高于实体店（8.9%）。除了退货的货币成本（40 B美元）外，由于退货，数十亿磅的货物将进入垃圾填埋场，对环境产生重大影响。这个I-Corps项目将从最少的用户输入中提供准确的人体模拟，从非标准化设计和制造文件中提供逼真的服装模拟，并自动集成到可信的合身可视化中。该技术提供了1）用于将设计文件转变为照片真实感3D模拟的自动化过程，2）用于生成准确的阴影化身的自动化过程，以及3）可以通过其组合化身和模拟并且使用基于位置的动态来分层多个网格的过程。该团队的方法的技术实现利用了深度学习和机器学习算法、3D建模、网格生成和映射、自定义渲染引擎以及先进的织物模拟技术。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响力评审标准进行评估，被认为值得支持。