BriefGPT.xyz
Aug, 2021
基于深度混合自学习的全三维网格生成
Deep Hybrid Self-Prior for Full 3D Mesh Generation
HTML
PDF
Xingkui Wei, Zhengqing Chen, Yanwei Fu, Zhaopeng Cui, Yinda Zhang
TL;DR
提出一种利用深度神经网络的全新2D-3D自先验策略的深度学习流程来重构含有三角网格和纹理贴图的完整3D模型,实验证明该方法不仅无需额外的训练数据即可从稀疏输入中恢复出高质量的3D纹理网格模型,而且在几何和纹理质量上均优于现有方法。
Abstract
We present a
deep learning pipeline
that leverages network self-prior to recover a full 3D model consisting of both a triangular mesh and a
texture map
from the colored 3D point cloud. Different from previous met
→