Dream lens: Exploration and visualization of large-scale generative design datasets

J Matejka, M Glueck, E Bradner, A Hashemi… - Proceedings of the …, 2018 - dl.acm.org
This paper presents Dream Lens, an interactive visual analysis tool for exploring and
visualizing large-scale generative design datasets. Unlike traditional computer aided …

Sequential gallery for interactive visual design optimization

Y Koyama, I Sato, M Goto - ACM Transactions on Graphics (TOG), 2020 - dl.acm.org
Visual design tasks often involve tuning many design parameters. For example, color
grading of a photograph involves many parameters, some of which non-expert users might …

Sequential line search for efficient visual design optimization by crowds

Y Koyama, I Sato, D Sakamoto, T Igarashi - ACM Transactions on …, 2017 - dl.acm.org
Parameter tweaking is a common task in various design scenarios. For example, in color
enhancement of photographs, designers tweak multiple parameters such as" brightness" …

An intuitive control space for material appearance

A Serrano, D Gutierrez, K Myszkowski… - arXiv preprint arXiv …, 2018 - arxiv.org
Many different techniques for measuring material appearance have been proposed in the
last few years. These have produced large public datasets, which have been used for …

BO as assistant: Using Bayesian optimization for asynchronously generating design suggestions

Y Koyama, M Goto - Proceedings of the 35th Annual ACM Symposium on …, 2022 - dl.acm.org
Many design tasks involve parameter adjustment, and designers often struggle to find
desirable parameter value combinations by manipulating sliders back and forth. For such a …

TypeDance: Creating semantic typographic logos from image through personalized generation

S Xiao, L Wang, X Ma, W Zeng - Proceedings of the CHI Conference on …, 2024 - dl.acm.org
Semantic typographic logos harmoniously blend typeface and imagery to represent
semantic concepts while maintaining legibility. Conventional methods using spatial …

Human-in-the-loop differential subspace search in high-dimensional latent space

CH Chiu, Y Koyama, YC Lai, T Igarashi… - ACM Transactions on …, 2020 - dl.acm.org
Generative models based on deep neural networks often have a high-dimensional latent
space, ranging sometimes to a few hundred dimensions or even higher, which typically …

Geppetto: Enabling semantic design of expressive robot behaviors

R Desai, F Anderson, J Matejka, S Coros… - Proceedings of the …, 2019 - dl.acm.org
Expressive robots are useful in many contexts, from industrial to entertainment applications.
However, designing expressive robot behaviors requires editing a large number of …

Procedural modeling using autoencoder networks

ME Yumer, P Asente, R Mech, LB Kara - Proceedings of the 28th Annual …, 2015 - dl.acm.org
Procedural modeling systems allow users to create high quality content through parametric,
conditional or stochastic rule sets. While such approaches create an abstraction layer by …

Artinter: AI-Powered Boundary Objects for Commissioning Visual Arts

JJY Chung, E Adar - Proceedings of the 2023 ACM Designing …, 2023 - dl.acm.org
When commissioning visual art, clients and artists communicate to agree on what is to be
created. This often requires bridging a language gap in how they conceive art. To arrive at a …