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Found 3 papers, 2 papers with code
Generative Data Augmentation for Vehicle Detection in Aerial Images
The experiments show that the method increases the Average Precision by up to 25. 2% and 25. 7% when integrated with Pluralistic and DeepFill respectively.
LPMNet: Latent Part Modification and Generation for 3D Point Clouds
In this paper, we focus on latent modification and generation of 3D point cloud object models with respect to their semantic parts.
Paired 3D Model Generation with Conditional Generative Adversarial Networks
Generative Adversarial Networks (GANs) are shown to be successful at generating new and realistic samples including 3D object models.
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