47 citations · 86 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
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…
AniFaceDrawing: Anime Portrait Exploration during Your Sketching
Zhengyu Huang, Haoran Xie, Tsukasa Fukusato +1
In this paper, we focus on how artificial intelligence (AI) can be used to assist users in the creation of anime portraits, that is, converting rough sketches into anime portraits…
DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model
Yichen Peng, Chunqi Zhao, Haoran Xie +2
Synthesizing face images from monochrome sketches is one of the most fundamental tasks in the field of image-to-image translation. However, it is still challenging to (1)~make mode…
Interactive 3D Character Modeling from 2D Orthogonal Drawings with Annotations
Zhengyu Huang, Haoran Xie, Tsukasa Fukusato
We propose an interactive 3D character modeling approach from orthographic drawings (e.g., front and side views) based on 2D-space annotations. First, the system builds partial cor…