Name
Abstract | ||
|---|---|---|
Recently, data-driven single-view reconstruction methods have shown great progress in modeling 3D dressed humans. However, such methods suffer heavily from depth ambiguities and occlusions inherent to single view inputs. In this paper, we tackle this problem by considering a small set of input views and investigate the best strategy to suitably exploit information from these views. We propose a da... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/3DV53792.2021.00059 | 2021 International Conference on 3D Vision (3DV) |
Keywords | DocType | ISSN |
Multi View 3D Reconstruction,Implicit Representation,3D Human Modeling,Deep Neural Network | Conference | 2378-3826 |
ISBN | Citations | PageRank |
978-1-6654-2688-6 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pierre Zins | 1 | 0 | 0.34 |
| Yuanlu Xu | 2 | 0 | 0.34 |
| Edmond Boyer | 3 | 2758 | 130.84 |
| Stefanie Wuhrer | 4 | 405 | 34.51 |
| Tony Tung | 5 | 464 | 36.98 |