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Learned Interpolation for 3D Generation
The typical approach for incorporating this creative process is to interpolate in a learned latent space so as to avoid the problem of generating unrealistic instances by exploiting the model's learned structure.
Getting Topology and Point Cloud Generation to Mesh
In this work, we explore the idea that effective generative models for point clouds under the autoencoding framework must acknowledge the relationship between a continuous surface, a discretized mesh, and a set of points sampled from the surface.
Developing Creative AI to Generate Sculptural Objects
We explore the intersection of human and machine creativity by generating sculptural objects through machine learning.
Hallucinating Point Cloud into 3D Sculptural Object
Our approach extends DeepDream from images to 3D point clouds.
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