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Updated: Nov 23, 2025

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Deep Sketch-Guided Cartoon Video Inbetweening.

Xiaoyu Li, Bo Zhang, Jing Liao

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    Summary
    This summary is machine-generated.

    This study introduces a new method for creating cartoon videos using user sketches and keyframes. The framework synthesizes frames by matching sketch motion, enabling user control and high-quality cartoon animation.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Artificial Intelligence

    Background:

    • Generating cartoon videos often requires complex animation processes.
    • Existing frame interpolation methods struggle with large motion and user control.

    Purpose of the Study:

    • To develop a novel framework for cartoon video generation.
    • To enable user control over video sequences through sketch guidance.
    • To improve the quality and flexibility of cartoon video synthesis.

    Main Methods:

    • Estimating dense cross-domain correspondence between user sketches and cartoon frames.
    • Employing a blending module with occlusion estimation for middle frame synthesis.
    • Utilizing an arbitrary-time frame interpolation pipeline for in-between frame generation.
    • Implementing a temporal consistency module for refined video output.

    Main Results:

    • The proposed framework successfully generates cartoon videos by synthesizing frames guided by user sketches.
    • The system demonstrates superior performance compared to existing image synthesis and frame interpolation methods.
    • Achieved high-quality results with enhanced temporal consistency and user controllability.

    Conclusions:

    • The novel framework offers a flexible and effective approach to cartoon video production.
    • User-guided sketch-based synthesis significantly enhances video generation quality and control.
    • The method generalizes well across different movie frames, outperforming current solutions.