Author:
Wang Sicheng,Jiang Hao,Xiang Lei
Publisher
Springer Nature Switzerland
Reference32 articles.
1. Aanæs, H., Jensen, R.R., Vogiatzis, G., Tola, E., Dahl, A.B.: Large-scale data for multiple-view stereopsis. Int. J. Comput. Vis. 120(2), 153–168 (2016)
2. Lecture Notes in Computer Science;NDF Campbell,2008
3. Cheng, S., et al.: Deep stereo using adaptive thin volume representation with uncertainty awareness. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2524–2534 (2020)
4. Ding, Y., et al.: TransMVSNet: global context-aware multi-view stereo network with transformers. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8585–8594 (2022)
5. Dosovitskiy, A., et al.: An image is worth 16$$\,\times $$ 16 words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)