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English(EN) MoRE: Motion-Regularized Encoding for Articulated 3D Generation

MoRE方法能够从单张图像生成关节式3D物体

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种新颖的方法MoRE，用于从单张图像生成关节式3D物体。该方法使用轴分类和Plücker力矩系数对关节属性进行编码，从而无需任意原点选择即可重建物体运动。MoRE的学习过程将解码的关节假设与带注释的关节进行比较，以确保运动保持，并利用图像条件流和多状态自适应高斯模型来处理功能潜在变量和外观。该系统可以为不同的状态驱动一组静止姿态高斯，与现有方法相比，在部件-边界框一致性和关节状态几何方面表现出改进。 AI

影响 引入了一种生成关节式3D物体的新技术，可能改进计算机图形学和机器人领域的应用。

排序理由 这是一篇详细介绍3D生成新方法的 ist 研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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MoRE方法能够从单张图像生成关节式3D物体

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这是一篇详细介绍3D生成新方法的 ist 研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Guantian Zheng, Shan Jin ·

    MoRE: Motion-Regularized Encoding for Articulated 3D Generation

    arXiv:2610.30337v1 Announce Type: new Abstract: Generating an articulated object from a single image requires recovering both its appearance and the mechanism governing its parts. A compact encoding of joint attributes does not by itself ensure that reconstruction preserves the r…

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