29 citations · 37 across the 9 of their papers we have counts for
9 papers
StylePart: Image-based Shape Part Manipulation
I-Chao Shen, Li-Wen Su, Yu-Ting Wu +1
Due to a lack of image-based "part controllers", shape manipulation of man-made shape images, such as resizing the backrest of a chair or replacing a cup handle is not intuitive. T…
ClipGen: A Deep Generative Model for Clipart Vectorization and Synthesis
I-Chao Shen, Bing-Yu Chen
This paper presents a novel deep learning-based approach for automatically vectorizing and synthesizing the clipart of man-made objects. Given a raster clipart image and its corres…
ClipFlip : Multi-view Clipart Design
I-Chao Shen, Kuan-Hung Liu, Li-Wen Su +2
We present an assistive system for clipart design by providing visual scaffolds from the unseen viewpoints. Inspired by the artists' creation process, our system constructs the vis…
ZomeFab: Cost-effective Hybrid Fabrication with Zometools
I-Chao Shen, Ming-Shiuan Chen, Chun-Kai Huang +1
In recent years, personalized fabrication has received considerable attention because of the widespread use of consumer-level three-dimensional (3D) printers. However, such 3D prin…
FishNet: A Camera Localizer using Deep Recurrent Networks
Hsin-I Chen, Sebastian Agethen, Chiamin Wu +2
This paper proposes a robust localization system that employs deep learning for better scene representation, and enhances the accuracy of 6-DOF camera pose estimation. Inspired by…
Texturing and Deforming Meshes with Casual Images
I-Chao Shen, Yi-Hau Wang, Yu-Mei Chen +1
Using (casual) images to texture 3D models is a common way to create realistic 3D models, which is a very important task in computer graphics. However, if the shape of the casual i…