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"

8 / 8 papers shown

Title
VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction and Recognition Rahul Moorthy Volkan Isler Volkan Isler 41 0 0 07 Oct 2024
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual Hulls ZiYun Wang Kenneth Chaney Kostas Daniilidis 3DPC 27 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 49 616 0 22 Nov 2021
Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation Nikhil Chavan-Dafle S. Popovych Shubham Agrawal Daniel D. Lee Volkan Isler 32 9 0 14 Sep 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 23 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 63 36 0 27 Jul 2020
Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction Daniel Yang Tarik Tosun Ben Eisner Volkan Isler Daniel D. Lee 3DV 27 30 0 03 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017