VectorArk model improves image vectorization with rounded polygons

Researchers have developed VectorArk, a new vision-language model designed for practical image vectorization. Unlike previous models that perform well on synthetic data but struggle with real-world images, VectorArk utilizes a novel rounded polygon representation. This approach simplifies learning and generates visually appealing primitives, while a proposed degradation model enhances robustness against imperfect inputs. Experiments demonstrate VectorArk's superior performance in geometric completeness and artifact suppression across various datasets. AI

影响 Introduces a novel approach to image vectorization that improves robustness and visual appeal for real-world applications.

排序理由 The cluster contains a research paper detailing a new model for image vectorization. [lever_c_demoted from research: ic=1 ai=1.0]

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