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UNet-assisted parameterization for B-spline surface approximation
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AI
DOI：10.1016/j.cag.2025.104416.png)
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Abstract
En 中文
• An efficient AI-based method for B-spline surface parameterization is proposed. • Surface reconstruction is improved through smooth regularization and top-K loss. • Our method is robust to initial guesses and efficiently handles large-scale data.
Keywords:
AI-based method
B-spline surface parameterization
surface reconstruction
smooth regularization
top-K loss
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