---
_id: '18366'
abstract:
- lang: eng
  text: We present ASIST, a technique for transforming point clouds by replacing objects
    with their semantically equivalent counterparts. Transformations of this kind
    have applications in virtual reality, repair of fused scans, and robotics. ASIST
    is based on a unified formulation of semantic labeling and object replacement;
    both result from minimizing a single objective. We present numerical tools for
    the efficient solution of this optimization problem. The method is experimentally
    assessed on new datasets of both synthetic and real point clouds, and is additionally
    compared to two recent works on object replacement on data from the corresponding
    papers.
article_processing_charge: No
arxiv: 1
author:
- first_name: Or
  full_name: Litany, Or
  last_name: Litany
- first_name: Tal
  full_name: Remez, Tal
  last_name: Remez
- first_name: Daniel
  full_name: Freedman, Daniel
  last_name: Freedman
- first_name: Lior
  full_name: Shapira, Lior
  last_name: Shapira
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Ran
  full_name: Gal, Ran
  last_name: Gal
citation:
  ama: 'Litany O, Remez T, Freedman D, Shapira L, Bronstein AM, Gal R. ASIST: Automatic
    semantically invariant scene transformation. <i>Computer Vision and Image Understanding</i>.
    2017;157:284-299. doi:<a href="https://doi.org/10.1016/j.cviu.2016.08.002">10.1016/j.cviu.2016.08.002</a>'
  apa: 'Litany, O., Remez, T., Freedman, D., Shapira, L., Bronstein, A. M., &#38;
    Gal, R. (2017). ASIST: Automatic semantically invariant scene transformation.
    <i>Computer Vision and Image Understanding</i>. Elsevier. <a href="https://doi.org/10.1016/j.cviu.2016.08.002">https://doi.org/10.1016/j.cviu.2016.08.002</a>'
  chicago: 'Litany, Or, Tal Remez, Daniel Freedman, Lior Shapira, Alex M. Bronstein,
    and Ran Gal. “ASIST: Automatic Semantically Invariant Scene Transformation.” <i>Computer
    Vision and Image Understanding</i>. Elsevier, 2017. <a href="https://doi.org/10.1016/j.cviu.2016.08.002">https://doi.org/10.1016/j.cviu.2016.08.002</a>.'
  ieee: 'O. Litany, T. Remez, D. Freedman, L. Shapira, A. M. Bronstein, and R. Gal,
    “ASIST: Automatic semantically invariant scene transformation,” <i>Computer Vision
    and Image Understanding</i>, vol. 157. Elsevier, pp. 284–299, 2017.'
  ista: 'Litany O, Remez T, Freedman D, Shapira L, Bronstein AM, Gal R. 2017. ASIST:
    Automatic semantically invariant scene transformation. Computer Vision and Image
    Understanding. 157, 284–299.'
  mla: 'Litany, Or, et al. “ASIST: Automatic Semantically Invariant Scene Transformation.”
    <i>Computer Vision and Image Understanding</i>, vol. 157, Elsevier, 2017, pp.
    284–99, doi:<a href="https://doi.org/10.1016/j.cviu.2016.08.002">10.1016/j.cviu.2016.08.002</a>.'
  short: O. Litany, T. Remez, D. Freedman, L. Shapira, A.M. Bronstein, R. Gal, Computer
    Vision and Image Understanding 157 (2017) 284–299.
date_created: 2024-10-15T11:20:54Z
date_published: 2017-04-01T00:00:00Z
date_updated: 2024-12-18T12:24:47Z
day: '01'
doi: 10.1016/j.cviu.2016.08.002
extern: '1'
external_id:
  arxiv:
  - '1512.01515'
intvolume: '       157'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.1512.01515
month: '04'
oa: 1
oa_version: Preprint
page: 284-299
publication: Computer Vision and Image Understanding
publication_identifier:
  issn:
  - 1077-3142
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'ASIST: Automatic semantically invariant scene transformation'
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 157
year: '2017'
...