论文标题
莫里格：角色网格的运动吸引索具从点云中
Morig: Motion-aware rigging of character meshes from point clouds
论文作者
论文摘要
我们提出了Morig，该方法自动钻机的字符与单视点云流驱动的字符融合，以捕获表演字符的运动。我们的方法还可以根据捕获的点云运动对3D网格进行动画。莫里格（Morig）的神经网络将运动提示从点云编码为表演特征的铰接部分的内容。这些运动感知功能指导输入网格的适当骨骼钻机的推断，然后根据点云运动对其进行动画。我们的方法可以操纵和动画各种角色，包括人形生物，四倍和具有不同发音的玩具。它说明了点云中的遮挡区域，而输入网格和捕获的字符之间的部分比例不匹配。与其他忽略运动提示的索具方法相比，莫里格（Morig）产生了更准确的钻机，非常适合从捕获的角色重新定位运动。
We present MoRig, a method that automatically rigs character meshes driven by single-view point cloud streams capturing the motion of performing characters. Our method is also able to animate the 3D meshes according to the captured point cloud motion. MoRig's neural network encodes motion cues from the point clouds into features that are informative about the articulated parts of the performing character. These motion-aware features guide the inference of an appropriate skeletal rig for the input mesh, which is then animated based on the point cloud motion. Our method can rig and animate diverse characters, including humanoids, quadrupeds, and toys with varying articulation. It accounts for occluded regions in the point clouds and mismatches in the part proportions between the input mesh and captured character. Compared to other rigging approaches that ignore motion cues, MoRig produces more accurate rigs, well-suited for re-targeting motion from captured characters.
