SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans

Dai, Angela; Siddiqui, Yawar; Thies, Justus; Valentin, Julien; Nießner, Matthias

doi:10.1109/CVPR46437.2021.00179

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SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans

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Thies, Justus
Max Planck Research Group Neural Capture and Synthesis, Max Planck Institute for Intelligent Systems, Max Planck Society;
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https://doi.org/10.1109/CVPR46437.2021.00179
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https://doi.org/10.48550/arXiv.2006.14660
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Dai, A., Siddiqui, Y., Thies, J., Valentin, J., & Nießner, M. (2021). SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) (pp. 1747-1756). Piscataway, NJ: IEEE. doi:10.1109/CVPR46437.2021.00179.

Cite as: https://hdl.handle.net/21.11116/0000-0010-29EF-4

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