LLR-MVSNet: a lightweight network for low-texture scene reconstruction
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00530-024-01464-z.pdf
Reference29 articles.
1. Song, S., et al.: Prior depth-based multi-view stereo network for online 3D model reconstruction. Pattern Recogn. 136, 109198 (2023)
2. Yao, Y., et al.: MVSNet: Depth inference for unstructured multi-view stereo, in Proc. Eur. Conf. Comput. Vis. (ECCV), 767–783 (2018)
3. Gu, X., et al.: Cascade cost volume for high-resolution multi-view stereo and stereo matching, in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR), 2495–2504 (2020)
4. Yang, J., et al.: Cost volume pyramid based depth inference for multi-view stereo. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
5. Wang, F., et al.: PatchmatchNet: learned multi-view patchmatch stereo. In: Computer Vision and Pattern Recognition (2021)
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