3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
We introduce a data-driven approach to aid the repairing and conservation of archaeological objects: ORGAN, an object reconstruction generative adversarial network (GAN). By using an encoder-decoder 3D deep neural network on a GAN architecture, and combining two loss objectives: a completion loss an...
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| Format: | Dissertation |
| Language: | English |
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Pontificia Universidad Católica del Perú
2018
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| Online Access: | http://tesis.pucp.edu.pe/repositorio/handle/123456789/12263 |