Image Vectorization Using Neural Networks with End-to-End Training

This paper introduces a method for converting raster images into vector graphics using neural networks. The system learns to represent images as a sequence of drawing actions, which can then be rendered as scalable vector graphics. This approach allows for end-to-end training, improving the quality and efficiency of image vectorization.