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Improving and evaluating robotic garment unfolding: A garment-agnostic approach
2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2017Current approaches for robotic garment folding require a full view of an extended garment, in order to successfully apply a model-based folding sequence. In this paper, we present a garment-agnostic algorithm that requires no model to unfold clothes and works using only depth data.
David Estevez +3 more
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DeepCloth: Neural Garment Representation for Shape and Style Editing
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Zhaoqi Su, Tao Yu, Yangang Wang
exaly
Garment Poetics: Costureras in Los Angeles' Garment Industry
2021Garment Poetics explores forms of resistance amongst Mexican and Salvadoran women who work(ed) in Los Angeles, California’s garment industry. Through the theoretical framework of women of color feminism, I turn to union archives to recuperate Mexican women’s organizing work in the International Ladies’ Garment Workers’ Union.
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Prediction of garment fit level in 3D virtual environment based on artificial neural networks
Textile Reseach Journal, 2021Zhujun Wang, Xianyi Zeng, Shuo Xu
exaly