Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Kang, Eunsu"'
Autor:
Kang, Eunsuk
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 103-109).
Many security attacks ar
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 103-109).
Many security attacks ar
Externí odkaz:
http://hdl.handle.net/1721.1/103738
Autor:
Kang, Eunsuk
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 73-76).
A new approach is suggested for arg
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 73-76).
A new approach is suggested for arg
Externí odkaz:
http://hdl.handle.net/1721.1/58386
Robotic painting has been a subject of interest among both artists and roboticists since the 1970s. Researchers and interdisciplinary artists have employed various painting techniques and human-robot collaboration models to create visual mediums on c
Externí odkaz:
http://arxiv.org/abs/2007.03647
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. Thi
Externí odkaz:
http://arxiv.org/abs/1912.03787
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 learned latent space so as to avoid the problem of generating unrealisti
Externí odkaz:
http://arxiv.org/abs/1912.10787
Akademický článek
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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 hallucinating objects into them, is applied to videos. In particular,
Externí odkaz:
http://arxiv.org/abs/1911.11960
Autor:
Ge, Songwei, Dill, Austin, Kang, Eunsu, Li, Chun-Liang, Zhang, Lingyao, Zaheer, Manzil, Poczos, Barnabas
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 peop
Externí odkaz:
http://arxiv.org/abs/1908.07587
Publikováno v:
Proceedings of International Symposium on Electronic Art 2019 (ISEA), pages 494-498
While the purpose of most fake news is misinformation and political propaganda, our team sees it as a new type of myth that is created by people in the age of internet identities and artificial intelligence. Seeking insights on the fear and desire hi
Externí odkaz:
http://arxiv.org/abs/1908.01760
Recent advancements in artificial intelligence (AI) and its sub-branch machine learning (ML) promise machines that go beyond the boundaries of automation and behave autonomously. Applications of these machines in creative practices such as art and de
Externí odkaz:
http://arxiv.org/abs/1908.01133