Name
Abstract | ||
|---|---|---|
This work studies learning from a synergy process of 3D Morphable Models (3DMM) and 3D facial landmarks to predict complete 3D facial geometry, including 3D alignment, face orientation, and 3D face modeling. Our synergy process leverages a representation cycle for 3DMM parameters and 3D landmarks. 3D landmarks can be extracted and refined from face meshes built by 3DMM parameters. We next reverse ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/3DV53792.2021.00055 | 2021 International Conference on 3D Vision (3DV) |
Keywords | DocType | ISSN |
Geometry,Solid modeling,Three-dimensional displays,Codes,Electric breakdown,Predictive models,Task analysis | Conference | 2378-3826 |
ISBN | Citations | PageRank |
978-1-6654-2688-6 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cho-Ying Wu | 1 | 4 | 0.73 |
| Qiangeng Xu | 2 | 0 | 0.68 |
| Ulrich Neumann | 3 | 0 | 1.01 |