Learning a Hierarchical Latent-Variable Model of 3D Shapes

17 May 2017Shikun LiuC. Lee GilesAlexander G. Ororbia II

We propose the Variational Shape Learner (VSL), a generative model that learns the underlying structure of voxelized 3D shapes in an unsupervised fashion. Through the use of skip-connections, our model can successfully learn and infer a latent, hierarchical representation of objects... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
3D Object Recognition ModelNet40 Variational Shape Learner Accuracy 84.5% # 3

Methods used in the Paper


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