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3D Human modeling has numerous applications in AR/VR, entertainment, the fashion industry and has been a challenging task, due to variation in human motion, body shape, style of clothing. One of the main challenges in human modeling is clothing, because of the complex behavior of clothing in the real world, lack of large scale dataset, etc. In this talk, I will talk about the motivation of learning from real-world data and present my previous work on size sensitive clothing model and 3d clothing parsing.
Garvita Tiwari ( Max Planck Institute of Informatics)
PhD
Garvita Tiwari is a Ph.D. student in the Real Virtual Human Group at Max Planck Institute of Informatics, Saarbrucken. She is currently working with Dr. Gerard Pons-Moll in the domain of data-driven 3D clothing models. She received her master's degree from Saarland University in 2019 and bachelor's degree from the Indian Institute of Information Technology, Allahabad, India. Her research interests are geometric deep learning, human and clothing modeling.
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