AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation-Reference-Cited by-同舟云学术

AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation

Published:2020 Issue: Volume: Page:52-71
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020
language:
Short-container-title:

Author:

Liu Xiaofeng^ORCID,Che Tong^ORCID,Lu Yiqun^ORCID,Yang Chao^ORCID,Li Site^ORCID,You Jane^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58545-7_4

Reference87 articles.

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3. Buades, A., Coll, B., Morel, J.M.: A non-local algorithm for image denoising. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 2, pp. 60–65. IEEE (2005)

4. Cao, J., Hu, Y., Yu, B., He, R., Sun, Z.: Load balanced GANs for multi-view face image synthesis. arXiv preprint arXiv:1802.07447 (2018)

5. Chang, A.X., et al.: ShapeNet: an information-rich 3D model repository. arXiv preprint arXiv:1512.03012 (2015)

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