Data-driven contextual modeling for 3D scene understanding

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Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis (2016, methodology): “Another idea is to ﬁnd identical CAD models in a shape database for a given partial input shape and align it with the scan [24, 33, 16, 21, 35].”
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans (2017, unknown): “One can also ‘complete’ shapes by replacing scanned geometry with aligned CAD models retrieved from a database [20, 32, 15, 17, 33].”
3D Object Dense Reconstruction from a Single Depth View (2018, unknown): “Given a partial shape input, [31] [32] [33] [34] [35] [36] try to retrieve an identical or most likely 3D model and align it with the partial scan.”
3D Object Reconstruction from a Single Depth View with Adversarial Learning (2017, methodology): “Given a partial shape input, [25] [29] [36] [45] [47] try to retrieve an identical or most likely CAD model and align it with the partial scan.”