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LICENSE
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Copyright (c) 2023 Ilia Petrov, University of Tübingen
Please read carefully the following terms and conditions and any accompanying documentation before you download and/or
use this software and associated documentation files (the "Software").
The authors hereby grant you a non-exclusive, non-transferable, free of charge right to copy, modify, merge, publish,
distribute, and sublicense the Software for the sole purpose of performing non-commercial scientific research,
non-commercial education, or non-commercial artistic projects.
Any other use, in particular any use for commercial purposes, is prohibited. This includes, without limitation,
incorporation in a commercial product, use in a commercial service, or production of other artefacts for commercial
purposes. For commercial inquiries, please see above contact information.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
You understand and agree that the authors are under no obligation to provide either maintenance services, update
services, notices of latent defects, or corrections of defects with regard to the Software. The authors nevertheless
reserve the right to update, modify, or discontinue the Software at any time.
You acknowledge that the Software is a valuable scientific resource and agree to appropriately reference the following
manuscript in any publication making use of the Software or the manuscript.
Citation:
@inproceedings{petrov2023popup,
title={Object pop-up: Can we infer 3D objects and their poses from human interactions alone?},
author={Petrov, Ilya A and Marin, Riccardo and Chibane, Julian and Pons-Moll, Gerard},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2023}
}
The above copyright notice and this permission notice shall be included in all copies or substantial portions
of the Software.