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LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
We present LOGAN, a deep neural network aimed at learning generic shape ...
03/25/2019 ∙ by Kangxue Yin, et al. ∙
31
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BAE-NET: Branched Autoencoder for Shape Co-Segmentation
We treat shape co-segmentation as a representation learning problem and ...
03/27/2019 ∙ by Zhiqin Chen, et al. ∙
10
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Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning
We introduce BranchGAN, a novel training method that enables uncondition...
03/22/2018 ∙ by Zili Yi, et al. ∙
0
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Learning Implicit Fields for Generative Shape Modeling
We advocate the use of implicit fields for learning generative models of...
12/06/2018 ∙ by Zhiqin Chen, et al. ∙
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