2 citations · 2 across the 2 of their papers we have counts for
4 papers
Learned Interpolation for 3D Generation
Austin Dill, Songwei Ge, Eunsu Kang +2
In order to generate novel 3D shapes with machine learning, one must allow for interpolation. The typical approach for incorporating this creative process is to interpolate in a le…
Getting Topology and Point Cloud Generation to Mesh
Austin Dill, Chun-Liang Li, Songwei Ge +1
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,…
Developing Creative AI to Generate Sculptural Objects
Songwei Ge, Austin Dill, Eunsu Kang +4
We explore the intersection of human and machine creativity by generating sculptural objects through machine learning. This research raises questions about both the technical detai…
Hallucinating Point Cloud into 3D Sculptural Object
Chun-Liang Li, Eunsu Kang, Songwei Ge +4
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…