Machine learning for digital try-on: Challenges and progress
Abstract 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 rema...
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Tsinghua University Press
2020-10-01
|
| Serie: | Computational Visual Media |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s41095-020-0189-1 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|