2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.GR2020
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…
cs.LG2019★ 2 cited
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,…
cs.CV2019
LucidDream: Controlled Temporally-Consistent DeepDream on Videos
Joel Ruben Antony Moniz, Eunsu Kang, Barnabás Póczos
In this work, we aim to propose a set of techniques to improve the controllability and aesthetic appeal when DeepDream, which uses a pre-trained neural network to modify images by…