DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings-Reference-Cited by-同舟云学术

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DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings

Published:2021 Issue: Volume: Page:244-260
ISSN:0302-9743
Container-title:Computer Vision – ACCV 2020
language:
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Author:

He Tong,Collomosse John,Jin Hailin,Soatto Stefano

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-69525-5_15

Reference43 articles.

1. Anderson, B.D., Moore, J.B., Hawkes, R.: Model approximations via prediction error identification. Automatica 14, 615–622 (1978)

2. Astrom, K.: Maximum likelihood and prediction error methods. IFAC Proc. Vol. 12, 551–574 (1979)

3. Kang, S.B., Li, Y., Tong, X., Shum, H.Y.: Image-based rendering. Found. Trends Comput. Graph. Vision (2006)

4. Gortler, S.J., Grzeszczuk, R., Szeliski, R., Cohen, M.F.: The Lumigraph. In: SIGGRAPH vol. 96, pp. 43–54 (1996)

5. Sitzmann, V., Thies, J., Heide, F., Nießner, M., Wetzstein, G., Zollhofer, M.: DeepVoxels: learning persistent 3D feature embeddings. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2437–2446 (2019)

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