  Our team of artists and machine learning researchers designed a creative
algorithm that can generate authentic sculptural artworks. These artworks do
not mimic any given forms and cannot be easily categorized into the dataset
categories. Our approach extends DeepDream from images to 3D point clouds. The
proposed algorithm, Amalgamated DeepDream (ADD), leverages the properties of
point clouds to create objects with better quality than the naive extension.
ADD presents promise for the creativity of machines, the kind of creativity
that pushes artists to explore novel methods or materials and to create new
genres instead of creating variations of existing forms or styles within one
genre. For example, from Realism to Abstract Expressionism, or to Minimalism.
Lastly, we present the sculptures that are 3D printed based on the point clouds
created by ADD.
