A vision-language model for robust image vectorization via rounded polygon primitives and input degradation simulation.
Outline Comparison on Noisy Inputs Figure 9 compares the generated outlines on noisy inputs
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation
A vision-language model for robust image vectorization via rounded polygon primitives and input degradation simulation.