Machine learning for digital try-on: Challenges and progress

Computational Visual Media, pp. 1-9, 2020.

Cited by: 0|Bibtex|Views4|DOI:https://doi.org/10.1007/S41095-020-0189-1
Other Links: academic.microsoft.com

Abstract:

Digital try-on systems for e-commerce have the potential to change people\u0027s 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 ...More

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