LineFiller
Leak-proofing line art filling and segmentation based on trapped-ball filling.
The Full pipeline including different deep learning models and algorithm. For now, the repository only including trapped-ball filling(segmentation).
- Input is be prepocessed by deep learning model LineCloser and LineThinner, these result a nice normalization line-drawing. Work in progess
- A combination of Trapped-ball and FloodFill algorithm are used to do segmentation, the raw output will be processed by simple merge operation. Done
- For each segment, a deep learning model LineFeature is used to extract features, then a cluster algorithm is used for grouping. Work in progess
- Using LineFeature for classification or comparing to determine the color palatte by exmpale or user input. Work in progess
Extra pipelien
- Using model from JACS for color palatte design. Work in progess
- Using LineShader for shading. Work in progess
- Using a model for coloring stylization. Work in progess
Example
The line art is drawn with reference from Violet Evergarden.
Result using trapped-ball and floodfill pipeline. Only floodfill leads result with leak.
Result after merged.
Result after performed line thinning.
From Project HAT by Hepesu With :heart:
