Name
Title | ||
|---|---|---|
Real-Time Unsupervised Multi-View Depth Estimation Network For Virtual View Synthesis |
Abstract | ||
|---|---|---|
The existing learning-based multi-view stereo (MVS) approaches achieve impressive results compared with traditional methods. However, most of them rely on ground-truth 3D data as supervision, and the acquisition of high-quality ground truth for various scenes is a challenging problem. In this paper, we propose a novel real-time unsupervised multi-view depth estimation network for virtual view synt... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICMEW53276.2021.9455982 | 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) |
Keywords | DocType | ISSN |
Three-dimensional displays,Conferences,Estimation,Real-time systems,Task analysis,Image reconstruction | Conference | 2330-7927 |
ISBN | Citations | PageRank |
978-1-6654-4989-2 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Qiu | 1 | 0 | 1.69 |
| Song Gu | 2 | 0 | 0.68 |
| Shiyi Liu | 3 | 0 | 1.35 |
| Yawen Lai | 4 | 0 | 1.35 |
| Yangang Cai | 5 | 0 | 2.03 |
| Ronggang Wang | 6 | 134 | 36.57 |