BriefGPT.xyz
Jun, 2020
利用高效空间变化核的全卷积网格自编码器
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
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Yi Zhou, Chenglei Wu, Zimo Li, Chen Cao, Yuting Ye...
TL;DR
本文提出了一种不基于模板的完全卷积网格自编码器,其具有高精度的重构能力,能够对任意已注册的网格数据进行编码,对于传统的3D网格生成模型而言,其潜在编码具有更高的插值能力。
Abstract
Learning
latent representations
of registered
meshes
is useful for many 3D tasks. Techniques have recently shifted to
neural mesh autoencoders
→