47 citations · 86 across the 15 of their papers we have counts for
15 papers
FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation
Yukinori Yamamoto, Kazuya Nishimura, Tsukasa Fukusato +3
Deep learning-based 3D medical image segmentation methods relies on large-scale labeled datasets, yet acquiring such data is difficult due to privacy constraints and the high cost…
Physics-Aware Fluid Field Generation from User Sketches Using Helmholtz-Hodge Decomposition
Ryuichi Miyauchi, Hengyuan Chang, Tsukasa Fukusato +2
Fluid simulation techniques are widely used in various fields such as film production, but controlling complex fluid behaviors remains challenging. While recent generative models e…
Computational Design and Fabrication of Protective Foam
Tsukasa Fukusato, Naoki Kita
This paper proposes a method to design protective foam for packaging 3D objects. Users first load a 3D object and define a block-based design space by setting the block resolution…
Automatic Dance Video Segmentation for Understanding Choreography
Koki Endo, Shuhei Tsuchida, Tsukasa Fukusato +1
Segmenting dance video into short movements is a popular way to easily understand dance choreography. However, it is currently done manually and requires a significant amount of ef…
Locality-Preserving Free-Form Deformation
Tsukasa Fukusato, Akinobu Maejima, Takeo Igarashi
This paper proposes a method to estimate the locations of grid handles in free-form deformation (FFD) while preserving the local shape characteristics of the 2D/3D input model embe…
A Study on Cognitive Effects of Canvas Size for Augmenting Drawing Skill
Jize Wang, Kazuhisa Nakano, Daiyannan Chen +4
In recent years, the field of generative artificial intelligence, particularly in the domain of image generation, has exerted a profound influence on society. Despite the capabilit…