39 citations · 103 across the 20 of their papers we have counts for
6 papers · 1 filter
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…
Generative Melody Composition with Human-in-the-Loop Bayesian Optimization
Yijun Zhou, Yuki Koyama, Masataka Goto +1
Deep generative models allow even novice composers to generate various melodies by sampling latent vectors. However, finding the desired melody is challenging since the latent spac…
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,…
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms
Xi Yang, Ding Xia, Taichi Kin +1
The exact shape of intracranial aneurysms is critical in medical diagnosis and surgical planning. While voxel-based deep learning frameworks have been proposed for this segmentatio…
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Xi Yang, Ding Xia, Taichi Kin +1
Medicine is an important application area for deep learning models. Research in this field is a combination of medical expertise and data science knowledge. In this paper, instead…
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…