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Cross-modal 3D Generation:principles,methods and recent advances
- “With the rapid growth of demand for high-quality 3D models in fields such as virtual reality, augmented reality, and digital content creation, traditional manual modeling and scanning methods have gradually exposed their shortcomings of low efficiency and high cost, making it difficult to meet practical application needs. In recent years, the development of deep learning and pre trained multimodal large models has significantly promoted the performance improvement and application expansion of cross modal 3D generation.”
- Pages: 1-37(2026)
Received:29 December 2025,
Revised:2026-01-16,
Accepted:06 March 2026,
Online First:06 March 2026
DOI: 10.11834/jig.250655
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