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 • CVPR 2019 • Dominic Jack, Frederic Maire, Sareh Shirazi, Anders Eriksson
Inferring 3D scene information from 2D observations is an open problem in computer vision.
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"
no code implementations • 2 Dec 2020 • Dominic Jack, Frederic Maire, Simon Denman, Anders Eriksson
Image convolutions have been a cornerstone of a great number of deep learning advances in computer vision.