no code implementations • 21 Jan 2019 • Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders Eriksson
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
1 code implementation • 29 Mar 2018 • Dominic Jack, Jhony K. Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frederic Maire, Anders Eriksson
Representing 3D shape in deep learning frameworks in an accurate, efficient and compact manner still remains an open challenge.
1 code implementation • 29 Nov 2017 • Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders Eriksson, Clinton Fookes
One challenge that remains open in 3D deep learning is how to efficiently represent 3D data to feed deep networks.
no code implementations • 23 Jul 2017 • Jhony K. Pontes, Chen Kong, Anders Eriksson, Clinton Fookes, Sridha Sridharan, Simon Lucey
3D reconstruction from 2D images is a central problem in computer vision.