LEED : label-free expression editing via disentanglement
Recent studies on facial expression editing have obtained very promising progress. On the other hand, existing methods face the constraint of requiring a large amount of expression labels which are often expensive and time-consuming to collect. This paper presents an innovative label-free expression...
Saved in:
Main Authors: | Wu, Rongliang, Lu, Shijian |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/146194 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
POCE: pose-controllable expression editing
by: Wu, Rongliang, et al.
Published: (2024) -
Cascade EF-GAN : progressive facial expression editing with local focuses
by: Wu, Rongliang, et al.
Published: (2021) -
High-resolution face swapping via latent semantics disentanglement
by: XU, Yangyang, et al.
Published: (2022) -
GMLight: lighting estimation via geometric distribution approximation
by: Zhan, Fangneng, et al.
Published: (2022) -
Deep disentangling learning for real-world image enlightening and restoration
by: Chan, Yi Xuan
Published: (2022)