Eunsu Kang's scientific contributions
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Publications (14)
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 canvas. One of the challenges of robotic painting is to apply a desired artistic style to the paintin...
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 canvas. One of the challenges of robotic painting is to apply a desired artistic style to the paintin...
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. This view motivates a generative model that works by progressively deforming a uniform sphere until it...
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 unrealistic instances by exploiting the model's learned structure. The process of the interpolation is suppose...
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, we demonstrate a simple modification that improves control over the class of object that DeepDream i...
![Figure 2: ModelNet40 [38] Figure 3: ShapeNet [9]](profile/Chun-Liang-Li/publication/335319062/figure/fig2/AS:794540189437952@1566444551018/ModelNet40-38-Figure-3-ShapeNet-9_Q320.jpg)
![Figure 6: Results of Li et al. [23].](profile/Chun-Liang-Li/publication/335319062/figure/fig5/AS:794540189417473@1566444551250/Results-of-Li-et-al-23_Q320.jpg)
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 clo...
![Figure 5: Portrait of a fake journalist Misun Lean generated by PGGAN [8].](profile/Vit-Ruzicka-3/publication/334987137/figure/fig2/AS:788741408956416@1565062014783/Portrait-of-a-fake-journalist-Misun-Lean-generated-by-PGGAN-8_Q320.jpg)
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 hidden underneath these modified or generated stories, we use machine learning methods to generate fak...
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 design entail relationships between users and machines that have been described as a form of collabora...
![Figure 5: Portrait of a fake journalist Misun Lean generated by PGGAN [8].](profile/Vit-Ruzicka-3/publication/334970813/figure/fig2/AS:788519492530178@1565009105625/Portrait-of-a-fake-journalist-Misun-Lean-generated-by-PGGAN-8_Q320.jpg)
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 hidden underneath these modified or generated stories, we use machine learning methods to generate fak...
![Figure 5: Portrait of a fake journalist Misun Lean generated by PGGAN [8].](profile/Vit-Ruzicka-3/publication/334970821/figure/fig4/AS:788515386298368@1565008126036/Portrait-of-a-fake-journalist-Misun-Lean-generated-by-PGGAN-8_Q320.jpg)
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 hidden underneath these modified or generated stories, we use machine learning methods to generate fak...
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 design entail relationships between users and machines that have been described as a form of "collabor...
Machine learning artwork project published at NeurIPS 2018 AI Art Gallery -
http://www.aiartonline.com/community/vit-ruzicka-eunsu-kang-david-gordon-ankita-patel-jacqui-fashimpaur-manzil-zaheer/
Project page also at https://www.newsby.ml/
![Figure 1: Results of Li et al. [13].](profile/Chun-Liang-Li/publication/328938912/figure/fig1/AS:692895438872586@1542210554982/Results-of-Li-et-al-13_Q320.jpg)
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 (AD...
Citations
... Gao et al. [23] developed a robotic system for efficiently drawing portraits from images based on a combination network of Neural Style Transfer and Generative Adversarial Network. Bidgoli et al. [24] used deep learning method to learn stylized brushstroke from human artists and reproduce them through robotic painting. Furthermore, the surface of robotic drawing has been extended from 2D to 3D. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/1161902600273925-1654030575857_Q64/Ardavan-Bidgoli.jpg)
![[object Object]](https://i1.rgstatic.net/ii/profile.image/500632982179846-1496371612483_Q64/Manuel-Rodriguez-Ladron-De-Guevara.jpg)
![[object Object]](https://i1.rgstatic.net/ii/profile.image/1156349383712769-1652706585514_Q64/Jean-Oh.jpg)
... The post-truth ecosystem consists of fakes, which are informational hoaxes or intentional dissemination of misinformation in social media and traditional media for the purpose of misleading in order to gain financial or political gain (Hunt, 2016). Fakes have been called the myths of our time (Ruzicka et al., 2019), implying not only that they perform their function of constructing and explaining reality, but also the incorporation of mythological elements into the structure of fake messages. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/675450548408325-1538051368320_Q64/Vit-Ruzicka-3.jpg)
... The work to address this issue has taken many different directions, from defining new theoretical collaborative frameworks (Corsini and Moultrie 2018;R. Oxman 2006) to development and adaptation of technologies specific to architectural problems (Bonwetsch et al. 2016), to development of intelligent agent tools (Doerfler et al. 2014;Bidgoli, Kang, and Llach 2019;N. Oxman et al. 2017). ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/933120081666048-1599484572317_Q64/Daniel-Cardoso-Llach.jpg)
