A Closest Point Proposal for MCMC-based Probabilistic Surface
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A Closest Point Proposal for MCMC-based Probabilistic Surface Registration

2 July 2019

Andreas Morel-Forster

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Papers citing "A Closest Point Proposal for MCMC-based Probabilistic Surface Registration"

9 / 9 papers shown

Title
Learning elementary structures for 3D shape generation and matching Theo Deprelle Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 61 187 0 13 Aug 2019
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis Adam Kortylewski Mario Wieser Andreas Morel-Forster Aleksander Wieczorek S. Parbhoo Volker Roth T. Vetter GAN CVBM 46 11 0 19 Nov 2018
Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration Yue Pan Bisheng Yang Fuxun Liang Z. Dong 3DPC 27 40 0 12 Aug 2018
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 173 329 0 13 Jun 2018
Morphable Face Models - An Open Framework Thomas Gerig Andreas Morel-Forster Clemens Blumer Bernhard Egger M. Lüthi Sandro Schönborn T. Vetter CVBM 3DH 57 269 0 25 Sep 2017
Gaussian Process Morphable Models M. Lüthi C. Jud Thomas Gerig T. Vetter 43 195 0 23 Mar 2016
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models Varun Jampani Sebastian Nowozin M. Loper Peter V. Gehler 95 45 0 04 Feb 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 165 4,304 0 18 Nov 2011
Point-Set Registration: Coherent Point Drift Andriy Myronenko Xubo B. Song 3DPC 3DV 147 2,583 0 15 May 2009

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