“Exploring AI Frame Interpolation Techniques for Watercolour Animation” by Nuijten, Sturm, Maurer and Graefe – ACM SIGGRAPH HISTORY ARCHIVES

“Exploring AI Frame Interpolation Techniques for Watercolour Animation” by Nuijten, Sturm, Maurer and Graefe

  • 2025 Posters_Nuijten_Exploring AI Frame Interpolation Techniques for Watercolour Animation

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Title:

    Exploring AI Frame Interpolation Techniques for Watercolour Animation

Session/Category Title:

    Art & Design

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Abstract:


    The animated short film Sensual explores a novel workflow for hand-painted watercolour animation, blending traditional artistic methods with AI-based frame interpolation techniques. By combining compositing with the Real-Time Intermediate Flow Estimation (RIFE) image interpolation network, we significantly reduced production time while maintaining the unique hand-painted aesthetic.

References:


    [1] Nicolas Barroso, Amélie Fondevilla, and David Vanderhaeghe. 2025. Automatic Inbetweening for Stroke-Based Painterly Animation. Computer Graphics Forum 44, 1 (2025), e15201. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.15201
    [2] Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, and Shuchang Zhou. 2020. RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. CoRR abs/2011.06294 (2020). arXiv:https://arXiv.org/abs/2011.06294https://arxiv.org/abs/2011.06294
    [3] Lukasz Mackiewicz and Francho Melendez. 2016. Loving vincent: guiding painters through 64.000 frames. In ACM SIGGRAPH 2016 Talks (Anaheim, California) (SIGGRAPH ’16). Association for Computing Machinery, New York, NY, USA, Article 6, 2 pages.


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