TL;DR通过 ORGAN 对象重建生成对抗网络可以有效地预测受损物体的缺失部位，具有很高的恢复受损信息的能力。
Abstract
We introduce a data-driven approach to aid the repairing and conservation of archaeological objects: ORGAN, an object reconstructiongenerative adversarial network (GAN). By using an encoder-decoder 3D