Textoon: Generating Vivid 2D Cartoon Characters from Text Descriptions
Chao He, Jianqiang Ren, Yuan Dong, Jianjing Xiang, Xiejie Shen, Weihao, Yuan, Liefeng Bo

TL;DR
Textoon is a novel method that rapidly generates diverse, vivid 2D cartoon characters in Live2D format from text descriptions, enhancing accessibility and interactivity in digital character creation.
Contribution
It introduces a new approach combining language and vision models to create customizable 2D cartoon characters from text in under a minute.
Findings
Generates diverse 2D characters from text descriptions
Creates characters in under one minute
Uses lightweight HTML5 rendering for accessibility
Abstract
The 2D cartoon style is a prominent art form in digital character creation, particularly popular among younger audiences. While advancements in digital human technology have spurred extensive research into photorealistic digital humans and 3D characters, interactive 2D cartoon characters have received comparatively less attention. Unlike 3D counterparts, which require sophisticated construction and resource-intensive rendering, Live2D, a widely-used format for 2D cartoon characters, offers a more efficient alternative, which allows to animate 2D characters in a manner that simulates 3D movement without the necessity of building a complete 3D model. Furthermore, Live2D employs lightweight HTML5 (H5) rendering, improving both accessibility and efficiency. In this technical report, we introduce Textoon, an innovative method for generating diverse 2D cartoon characters in the Live2D format…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman Motion and Animation · Handwritten Text Recognition Techniques · Video Analysis and Summarization
