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Towards Layer-wise Image Vectorization. (arXiv:2206.04655v1 [cs.CV])
June 10, 2022, 1:12 a.m. | Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi
cs.CV updates on arXiv.org arxiv.org
Image rasterization is a mature technique in computer graphics, while image
vectorization, the reverse path of rasterization, remains a major challenge.
Recent advanced deep learning-based models achieve vectorization and semantic
interpolation of vector graphs and demonstrate a better topology of generating
new figures. However, deep models cannot be easily generalized to out-of-domain
testing data. The generated SVGs also contain complex and redundant shapes that
are not quite convenient for further editing. Specifically, the crucial
layer-wise topology and fundamental semantics in …
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