| | |
| | |
Stat |
Members: 3643 Articles: 2'488'730 Articles rated: 2609
29 March 2024 |
|
| | | |
|
Article overview
| |
|
Developing Creative AI to Generate Sculptural Objects | Songwei Ge
; Austin Dill
; Eunsu Kang
; Chun-Liang Li
; Lingyao Zhang
; Manzil Zaheer
; Barnabas Poczos
; | Date: |
20 Aug 2019 | Abstract: | We explore the intersection of human and machine creativity by generating
sculptural objects through machine learning. This research raises questions
about both the technical details of automatic art generation and the
interaction between AI and people, as both artists and the audience of art. We
introduce two algorithms for generating 3D point clouds and then discuss their
actualization as sculpture and incorporation into a holistic art installation.
Specifically, the Amalgamated DeepDream (ADD) algorithm solves the sparsity
problem caused by the naive DeepDream-inspired approach and generates creative
and printable point clouds. The Partitioned DeepDream (PDD) algorithm further
allows us to explore more diverse 3D object creation by combining point cloud
clustering algorithms and ADD. | Source: | arXiv, 1908.7587 | Services: | Forum | Review | PDF | Favorites |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser claudebot
|
| |
|
|
|
| News, job offers and information for researchers and scientists:
| |