VCNet: A generative model for volume completion

We present VCNet, a new deep learning approach for volume completion by synthesizing missing subvolumes. Our solution leverages a generative adversarial network (GAN) that learns to complete volumes using the adversarial and volumetric losses. The core design of VCNet features a dilated residual blo...

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Bibliographic Details
Main Authors: Jun Han, Chaoli Wang
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Visual Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2468502X22000213