eprintid: 10083155
rev_number: 18
eprint_status: archive
userid: 608
dir: disk0/10/08/31/55
datestamp: 2019-10-15 14:42:43
lastmod: 2021-10-10 23:11:24
status_changed: 2019-10-15 14:42:43
type: article
metadata_visibility: show
creators_name: Kalojanov, J
creators_name: Lim, I
creators_name: Mitra, N
creators_name: Kobbelt, L
title: String-Based Synthesis of Structured Shapes
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: We propose a novel method to synthesize geometric models from a given class of context‐aware structured shapes such as buildings and other man‐made objects. The central idea is to leverage powerful machine learning methods from the area of natural language processing for this task. To this end, we propose a technique that maps shapes to strings and vice versa, through an intermediate shape graph representation. We then convert procedurally generated shape repositories into text databases that, in turn, can be used to train a variational autoencoder. The autoencoder enables higher level shape manipulation and synthesis like, for example, interpolation and sampling via its continuous latent space. We provide project code and pre‐trained models.
date: 2019-05
date_type: published
publisher: WILEY
official_url: https://doi.org/10.1111/cgf.13616
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1666549
doi: 10.1111/cgf.13616
lyricists_name: Mitra, Niloy
lyricists_id: NMITR19
actors_name: Mitra, Niloy
actors_id: NMITR19
actors_role: owner
full_text_status: public
publication: Computer Graphics Forum
volume: 38
number: 2
pagerange: 27-36
pages: 10
issn: 1467-8659
citation:        Kalojanov, J;    Lim, I;    Mitra, N;    Kobbelt, L;      (2019)    String-Based Synthesis of Structured Shapes.                   Computer Graphics Forum , 38  (2)   pp. 27-36.    10.1111/cgf.13616 <https://doi.org/10.1111/cgf.13616>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10083155/1/string2shape.pdf