High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder
In this work, we propose a novel model-based deep convolutional autoencoder that addresses the highly challenging problem of reconstructing a 3D human face from a single in-the-wild color image. To this end, we combine a convolutional encoder network with an expert-designed generative model that ser...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 2 vom: 16. Feb., Seite 357-370
|
|---|
| 1. Verfasser: |
Tewari, Ayush
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Zollhofer, Michael,
Bernard, Florian,
Garrido, Pablo,
Kim, Hyeongwoo,
Perez, Patrick,
Theobalt, Christian |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2020
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
|---|