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Textoon: Generating Vivid 2D Cartoon Characters from Text Descriptions

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arxiv 2501.10020 v2 pith:QDAF5IQI submitted 2025-01-17 cs.CV

classification cs.CV
keywords characterscartoontextoondigitallive2ddescriptionsformatgenerating
verification ladder T0 review T1 audit T2 compute T3 formal
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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 based on text descriptions. The Textoon leverages cutting-edge language and vision models to comprehend textual intentions and generate 2D appearance, capable of creating a wide variety of stunning and interactive 2D characters within one minute. The project homepage is https://human3daigc.github.io/Textoon_webpage/.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. DreamDance: Animating Character Art via Inpainting Stable Gaussian Worlds

    cs.CV 2025-05 conditional novelty 6.0 of 10

    DreamDance animates a single character artwork by reconstructing its background as a 3D Gaussian scene and then inpainting the animated character into the rendered video.

  2. CartoonAlive: Towards Expressive Live2D Modeling from Single Portraits

    cs.CV 2025-07 conditional novelty 4.0 of 10

    CartoonAlive automatically generates an animatable Live2D cartoon character from a single portrait image by combining 3DMM-inspired blendshapes with landmark-guided parameter regression.

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