Shedding Light on Cartoon Animation’s Future: AnimeInbet’s Innovation in Line Drawing Inbetweening

A new AI technique called AnimeInbet has been developed to automate the process of in-betweening line drawings in cartoon animation. Unlike previous methods, AnimeInbet works with geometrized vector graphs instead of raster images, resulting in cleaner and more accurate intermediate frames. The technique involves matching and relocating vertices, preserving intricate line structures, and predicting a visibility mask. The framework has shown promising results in generating high-quality line drawings. For further information, please refer to the provided links.

 Shedding Light on Cartoon Animation’s Future: AnimeInbet’s Innovation in Line Drawing Inbetweening

Shedding Light on Cartoon Animation’s Future: AnimeInbet’s Innovation in Line Drawing Inbetweening

Cartoon animation has come a long way since its early days in the 1900s. While automation techniques have been introduced to assist with certain tasks, the process of hand-drawing line drawings for each frame in 2D animation remains labor-intensive.

However, a new automated algorithm called AnimeInbet has been developed to enhance productivity in the animation industry. This algorithm generates intermediate line drawings from two key frames, a process known as “in-betweening.”

AnimeInbet tackles the challenges specific to line in-betweening by using a geometric format instead of raster images. This approach allows for accurate computation of pixel-wise correspondences and preserves the intricate details of the line drawings.

To support supervised training, a new dataset called MixamoLine240 has been introduced. This dataset provides line art with ground truth geometrization and vertex-matching labels.

Compared to existing methods, AnimeInbet has shown its ability to generate clean and complete intermediate line drawings.

If you’re interested in learning more about AnimeInbet, you can find the research paper and code on Github.

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Identify Automation Opportunities

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