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๐Ÿ•ธ๏ธ Graph Learning

๐Ÿ“น ICCV2025 ยท 1 paper notes

๐Ÿ“Œ Same area in other venues: ๐Ÿ“ท CVPR2026 (8) ยท ๐Ÿ”ฌ ICLR2026 (118) ยท ๐Ÿ’ฌ ACL2026 (24) ยท ๐Ÿงช ICML2026 (35) ยท ๐Ÿค– AAAI2026 (37) ยท ๐Ÿง  NeurIPS2025 (54)

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

This paper proposes the PASTA framework, which integrates VLM-derived text priors to compensate for semantic deficiencies in sketches, and introduces ISG-Net (a dual graph convolutional network comprising IndivGCN and PartGCN) to model inter-part structural relationships, achieving state-of-the-art sketch-to-3D shape generation and part-level editing.