Vis-MVSNet: Visibility-Aware Multi-view Stereo Network
Author:
Funder
Hong Kong RGC GRF
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s11263-022-01697-3.pdf
Reference56 articles.
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2. Chen, R., Han, S., Xu, J., & Su, H. (2019). Point-based multi-view stereo network. In International Conference on Computer Vision (ICCV), pp. 1538–1547.
3. Cheng, S., Xu, Z., Zhu, S., Li, Z., Li, L. E., Ramamoorthi, R., & Su, H. (2020). Deep stereo using adaptive thin volume representation with uncertainty awareness. In Computer Vision and Pattern Recognition (CVPR), pp. 2524–2534.
4. Furukawa, Y. & Ponce, J. (2006). Carved visual hulls for image-based modeling. In European Conference on Computer Vision (ECCV), Springer, pp. 564–577.
5. Furukawa, Y., & Ponce, J. (2009). Accurate, dense, and Robust multiview stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(8), 1362–1376.
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