Name
Abstract | ||
|---|---|---|
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rectified images. First, we introduce the effective voxel-aligned features from a stereo vision-based network to enable depth-aware reconstruction. Moreover, the novel relative z-offset ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CVPR46437.2021.00060 | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
Keywords | DocType | ISSN |
Geometry,Surface reconstruction,Computer vision,Three-dimensional displays,Shape,Robustness,Stereo vision | Conference | 1063-6919 |
ISBN | Citations | PageRank |
978-1-6654-4509-2 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Hong | 1 | 0 | 1.01 |
| Juyong Zhang | 2 | 379 | 34.08 |
| Boyi Jiang | 3 | 17 | 2.06 |
| Yudong Guo | 4 | 17 | 3.67 |
| Ligang Liu | 5 | 1960 | 108.77 |
| Hujun Bao | 6 | 2801 | 174.65 |