ClipFlip: Multi-view Clipart Design

I-Chao Shen     Kuan-Hung Liu     Li-Wen Su     Yu-Ting Wu     Bing-Yu Chen
National Taiwan University

Given the input clipart (a), Our system automatically generates a visual scaffold (b) by rendering it from a style consistent 3D shape generated by a user-assisted curve extrusion method. The user can design the clipart from the desired viewpoint by following the visual scaffold and draw each part step-by-step (c). We highlight the parts are being drawn at each step in red. Finally, the user can design better clipart (e) from the desired viewpoint in a shorter period than designing it without the provided visual scaffold (d).

Abstract
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 visual scaffold by first synthesizing the reference 3D shape of the input clipart and rendering it from the desired viewpoint. The critical challenge of constructing this visual scaffold is to generate a reference 3D shape that matches the user’s expectations in terms of object sizing and positioning while preserving the geometric style of the input clipart. To address this challenge, we propose a user-assisted curve extrusion method to obtain the reference 3D shape. We render the synthesized reference 3D shape with a consistent style into the visual scaffold. By following the generated visual scaffold, the users can efficiently design clipart with their desired viewpoints. The user study conducted by an intuitive user interface and our generated visual scaffold suggests that our system is especially useful for estimating the ratio and scale between object parts and can save on average 57% of drawing time.

Publication
I-Chao Shen, Kuan-Hung Liu, Li-Wen Su, Yu-Ting Wu, Bing-Yu Chen.
ClipFlip: Multi-view Clipart Design.
Computer Graphics Forum (CGF), volume 40, number 1, page 327-340, February 2021. BibTeX
CGF 2021 paper (3.8MB PDF)
Digital library

Supplemental
Additional results, user study, and interview questionnaire (7.5MB PDF)
Video (56.7MB MP4)



Last Update: May 2021