![]() ![]() Generate impressive results and reaches the state-of-the-art level. To improve vectorization accuracies and decrease file sizes, weįurther propose a stroke accuracy reward to predict accurate stroke lines, andĪ pruning mechanism to avoid generating erroneous and repeated strokes.Įxtensive subjective and objective experiments show that our MARVEL can To decompose the target image into a primitive sequence for achieving accurate Image, MARVEL introduces a new perspective that regards an entire manga as aĬollection of basic primitives\textemdash stroke lines, and designs a DRL model Previous learning-based methods which predict vector parameters for an entire Propose MARVEL (MAnga's Raster to VEctor Learning), a primitive-wise approachįor vectorizing raster mangas by Deep Reinforcement Learning (DRL). Graphics, e.g., adaptive resolutions and small file sizes. Raster art is made up of pixels which are small dots of color. ![]() For example, on this flower you can easily edit the dark green areas to be thicker on the edges by selecting a few nodes and dragging to the left. modeling water flow over the land surface) Linear features and paths are difficult to display. Vector art is composed of points, lines and shapes that can be edited to precise detail. Some specific use cases can only be achieved with raster data (e.g. Gradients, which are vectorizable natures to enjoy the merits of vector Map Algebra with raster data is usually quick and easy to perform. Typical mangas have simple textures, wide lines, and few color Download a PDF of the paper titled MARVEL: Raster Manga Vectorization via Primitive-wise Deep Reinforcement Learning, by Hao Su and 4 other authors Download PDF Abstract: Manga is a fashionable Japanese-style comic form that is composed ofīlack-and-white strokes and is generally displayed as raster images on digitalĭevices.
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