Machine learning for digital try-on: Challenges and progress
machine learning, digital try-on, garmentmodeling, human body estimation, material modeling
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 learningmake increasingly tractable. For each, we describethe problem, introduce state-of-the-art approaches, and provide future directions.
Tsinghua University Press
Junbang Liang, Ming C. Lin. Machine learning for digital try-on: Challenges and progress. Computational Visual Media 2021, 7(2): 159-167.