Views : 0 下载量: 0 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • 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     

    移动端阅览

  • Chen Zhineng, Yuan Zhaoquan, Yang Xiaoshan, Cao Yixin, Li Liang, Wu Xiao, Bao Bing-Kun. Cross-modal 3D Generation:principles,methods and recent advances[J/OL]. Journal of Image and Graphics, 2026:1-37. DOI: 10.11834/jig.250655. DOI:
  •  
  •  
Alert me when the article has been cited
提交

相关文章

暂无数据

相关作者

暂无数据

相关机构

暂无数据
0