STAR-TM:结构意识:从单个图像中重建纹理网
IEEE transactions on pattern analysis and machine intelligence
|August 22, 2023
概括
这项研究引入了一种新的方法,用于从单个图像中进行3D纹理网状重建. 它通过使用结构意识,全球一致的方法来提高纹理细节和一致性.
科学领域:
- 计算机视觉 计算机视觉
- 计算机图形 计算机图形
- 几何建模 几何建模
背景情况:
- 单视图3D重建是不合适的,特别是对于纹理推断和转移.
- 现有的方法与对象姿势变化和纹理细节不一致性作斗争.
研究的目的:
- 开发一种用于单视图3D重建纹理网格的新方法.
- 为了应对纹理推断,转移和全球一致性的挑战.
主要方法:
- 结构性网状重建使用采集和组装方法用于类零部件.
- 将纹理转移到统一的紫外线纹理空间,并使用变压器模型完成每个部分.
- 终端到终端的培训与全球的一致性损失和VQ-VAE嵌入空间.
主要成果:
- 与最先进的方法相比,实现了更高质量的纹理网重建.
- 证明了纹理连贯性和细节的改善恢复.
- 成功地处理了对象姿势和纹理的显著变化.
结论:
- 一种结构意识和全球一致的方法对于有纹理的3D重建是有效的.
- 拟议的方法增强了纹理的完整性和一致性,即使有遮.
- 这项工作推进了单视图3D重建能力.
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