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OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang · Weikai Chen · jie Yang · Bo Wang · Songrun Liu · Bo Yang · Lin Gao

Wed Dec 08 12:30 AM -- 02:00 AM (PST) @

Recent advances in localized implicit functions have enabled neural implicit representation to be scalable to large scenes.However, the regular subdivision of 3D space employed by these approaches fails to take into account the sparsity of the surface occupancy and the varying granularities of geometric details. As a result, its memory footprint grows cubically with the input volume, leading to a prohibitive computational cost even at a moderately dense decomposition. In this work, we present a learnable hierarchical implicit representation for 3D surfaces, coded OctField, that allows high-precision encoding of intricate surfaces with low memory and computational budget. The key to our approach is an adaptive decomposition of 3D scenes that only distributes local implicit functions around the surface of interest. We achieve this goal by introducing a hierarchical octree structure to adaptively subdivide the 3D space according to the surface occupancy and the richness of part geometry. As octree is discrete and non-differentiable, we further propose a novel hierarchical network that models the subdivision of octree cells as a probabilistic process and recursively encodes and decodes both octree structure and surface geometry in a differentiable manner. We demonstrate the value of OctField for a range of shape modeling and reconstruction tasks, showing superiority over alternative approaches.

Author Information

Jia-Heng Tang (Institute of Computing Technology, Chinese Academy of Sciences)
Weikai Chen (USC Institute for Creative Technology)
jie Yang (INstitute of Computing Technology, Chinese Academy of Sciences)

I am a Ph.D. student at Institute of Computing Technology, Chinese Academy of Sciences. I have received a mathematic bachelor's degree from Sichuan University in 2016. Currently, I focus on geometry learning under the supervision of Prof. Lin Gao and Prof. Shihong Xia. My research interest includes geometry processing, computer graphics, and deep learning.

Bo Wang (Tencent America)
Songrun Liu
Bo Yang (Tencent Game AI Research Center)
Lin Gao

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