标题： 基于3D点的大型运动下场景插值的全局运动对应器 显示英文标题

标题： Global Motion Corresponder for 3D Point-Based Scene Interpolation under Large Motion

摘要： 现有的动态场景插值方法通常假设连续时间步之间的运动足够小，以至于位移可以局部近似为线性模型。 在实践中，即使对这一小运动假设的轻微偏离也可能导致传统技术失败。 在本文中，我们引入了全局运动对应器（GMC），这是一种新方法，能够稳健地处理大运动并实现平滑过渡。 GMC学习单变量势场，将SE(3)映射到共享的标准空间，平衡对应关系、空间和语义平滑性以及局部刚性。 我们证明，当两种状态经历大范围全局运动时，我们的方法在3D场景插值上显著优于现有基线方法。 此外，我们的方法具备其他基线方法无法实现的外推能力。 显示英文摘要

摘要： Existing dynamic scene interpolation methods typically assume that the motion between consecutive timesteps is small enough so that displacements can be locally approximated by linear models. In practice, even slight deviations from this small-motion assumption can cause conventional techniques to fail. In this paper, we introduce Global Motion Corresponder (GMC), a novel approach that robustly handles large motion and achieves smooth transitions. GMC learns unary potential fields that predict SE(3) mappings into a shared canonical space, balancing correspondence, spatial and semantic smoothness, and local rigidity. We demonstrate that our method significantly outperforms existing baselines on 3D scene interpolation when the two states undergo large global motions. Furthermore, our method enables extrapolation capabilities where other baseline methods cannot.