10 citations · 11 across the 5 of their papers we have counts for
5 papers
GNM Head: A Generative aNthropometric Model of the human head
Stylianos Ploumpis, Jan Bednarik, Gaspard Zoss +29
Parametric models of the human head are essential tools traditionally used in computer vision and graphics for animation, rendering, and reconstruction. More recently, they serve a…
FOCUS -- Multi-View Foot Reconstruction From Synthetically Trained Dense Correspondences
Oliver Boyne, Roberto Cipolla
Surface reconstruction from multiple, calibrated images is a challenging task - often requiring a large number of collected images with significant overlap. We look at the specific…
FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic Data
Oliver Boyne, Gwangbin Bae, James Charles +1
Surface reconstruction from multi-view images is a challenging task, with solutions often requiring a large number of sampled images with high overlap. We seek to develop a method…
FIND: An Unsupervised Implicit 3D Model of Articulated Human Feet
Oliver Boyne, James Charles, Roberto Cipolla
In this paper we present a high fidelity and articulated 3D human foot model. The model is parameterised by a disentangled latent code in terms of shape, texture and articulated po…
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop
Benjamin Biggs, Oliver Boyne, James Charles +2
We introduce an automatic, end-to-end method for recovering the 3D pose and shape of dogs from monocular internet images. The large variation in shape between dog breeds, significa…