🕸️ Graph Learning

📹 ICCV2025 · 1 paper notes

PASTA: Part-Aware Sketch-to-3D Shape Generation with Text-Aligned Prior

This paper proposes the PASTA framework, which leverages VLM-derived text priors to compensate for semantic deficiencies in sketches, and designs ISG-Net (IndivGCN + PartGCN) to model inter-part structural relationships, achieving state-of-the-art performance in sketch-to-3D shape generation with support for part-level editing.