Higher-Order Function Networks for Learning Composable 3D Object Representations

24 July 2019

Papers citing "Higher-Order Function Networks for Learning Composable 3D Object Representations"

5 / 5 papers shown

Title
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual Hulls ZiYun Wang Kenneth Chaney Kostas Daniilidis 3DPC 17 14 0 11 Apr 2023
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 46 613 0 22 Nov 2021
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence Hao Huang Lingjing Wang Xiang Li Yi Fang 3DPC 20 0 0 21 Oct 2020
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry Yifan Xu Tianqi Fan Yi Yuan Gurprit Singh 3DPC 3DV 57 36 0 27 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017