June 11, 2024, 4:50 a.m. | Zhenyu Wang, Jianxi Huang, Zhida Sun, Daniel Cohen-Or, Min Lu

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.05404v1 Announce Type: new
Abstract: This work presents a novel progressive image vectorization technique aimed at generating layered vectors that represent the original image from coarse to fine detail levels. Our approach introduces semantic simplification, which combines Score Distillation Sampling and semantic segmentation to iteratively simplify the input image. Subsequently, our method optimizes the vector layers for each of the progressively simplified images. Our method provides robust optimization, which avoids local minima and enables adjustable detail levels in the final …

arxiv cs.cv cs.gr image semantic type vectorization via

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