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20162023
most citedComputational Design with Crowds

39 citations · 103 across the 20 of their papers we have counts for

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Showing cs.GRShow all

7 papers · 1 filter

cs.GR2023★ 1 cited

EvIcon: Designing High-Usability Icon with Human-in-the-loop Exploration and IconCLIP

I-Chao Shen, Fu-Yin Cherng, Takeo Igarashi +2

Interface icons are prevalent in various digital applications. Due to limited time and budgets, many designers rely on informal evaluation, which often results in poor usability ic…

cs.GR2022★ 7 cited

DualMotion: Global-to-Local Casual Motion Design for Character Animations

Yichen Peng, Chunqi Zhao, Haoran Xie +3

Animating 3D characters using motion capture data requires basic expertise and manual labor. To support the creativity of animation design and make it easier for common users, we p…

cs.GR2021

Per Garment Capture and Synthesis for Real-time Virtual Try-on

Toby Chong, I-Chao Shen, Nobuyuki Umetani +1

Virtual try-on is a promising application of computer graphics and human computer interaction that can have a profound real-world impact especially during this pandemic. Existing i…

cs.GR2020★ 11 cited

Continuous Curve Textures

Peihan Tu, Li-Yi Wei, Koji Yatani +2

Repetitive patterns are ubiquitous in natural and human-made objects, and can be created with a variety of tools and methods. Manual authoring provides unmatched degree of freedom…

cs.GR2020★ 1 cited

A curvature and density-based generative representation of shapes

Zi Ye, Nobuyuki Umetani, Takeo Igarashi +1

This paper introduces a generative model for 3D surfaces based on a representation of shapes with mean curvature and metric, which are invariant under rigid transformation. Hence,…

cs.GR2020★ 39 cited

Computational Design with Crowds

Yuki Koyama, Takeo Igarashi

Computational design is aimed at supporting or automating design processes using computational techniques. However, some classes of design tasks involve criteria that are difficult…

cs.GR2019

Interactive Optimization of Generative Image Modeling using Sequential Subspace Search and Content-based Guidance

Toby Chong Long Hin, I-Chao Shen, Issei Sato +1

Generative image modeling techniques such as GAN demonstrate highly convincing image generation result. However, user interaction is often necessary to obtain the desired results.…