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May, 2019
使用对抗训练从单个深度图像完成3D语义场景
3D Semantic Scene Completion from a Single Depth Image using Adversarial Training
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Yueh-Tung Chen, Martin Garbade, Juergen Gall
TL;DR
本研究旨在探讨利用生成对抗网络进行三维场景填充的潜力与效率，并通过几个数据集的实验验证了这种模型优于传统三维卷积神经网络在一定程度具有对齐的数据集内。
Abstract
We address the task of
3d semantic scene completion
, i.e. , given a single depth image, we predict the semantic labels and occupancy of voxels in a 3D grid representing the scene. In light of the recently introduced
gen
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