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LICENSE
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Non-Commercial License Agreement - Source Code
Introduction
- This license agreement sets forth the terms and conditions under which ECOLE
POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL), CH-1015 Lausanne, Switzerland
(hereafter "LICENSOR") will grant you (hereafter "LICENSEE") a fully-paid,
non-exclusive, and non-transferable license for academic, non- commercial
purposes only (hereafter “LICENSE”) to use the "Implementation for the paper
titled Exploiting the Signal-Leak Bias in Diffusion Models" computer software
program and associated documentation furnished hereunder (hereafter "PROGRAM").
- LICENSEE acknowledges that the PROGRAM is a research tool still in the
development stage, that is being supplied "as is", without any related services,
improvements or warranties from LICENSOR and that this license is entered into
in order to enable others to utilize the PROGRAM in their academic activities.
Terms and Conditions of the LICENSE
1. LICENSOR grants to LICENSEE a fully-paid up, non-exclusive, and
non-transferable license to use the PROGRAM for academic, non-commercial
purposes, upon the terms and conditions hereinafter set out and until
termination of this license as set forth below.
2. LICENSEE acknowledges that the PROGRAM is a research tool still in the
development stage. The PROGRAM is provided "as is", without any related services
or improvements from LICENSOR and that the LICENSE is entered into in order to
enable others to utilize the PROGRAM in their academic activities.
3. LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED,
INCLUDING WITHOUT LIMITAION ANY REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY
OR FITNESS FOR PARTICULAR PURPOSE OR THAT THE USE OF THE PROGRAM WILL NOT
INFRINGE ANY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS. LICENSOR shall not
be liable for any direct, indirect or consequential damages with respect to any
claim by LICENSEE or any third party arising from this Agreement or use of the
PROGRAM.
4. LICENSEE agrees that it will use the PROGRAM, and any modifications,
improvements, or derivatives to PROGRAM that LICENSEE may create (collectively,
"IMPROVEMENTS") solely for academic, non-commercial purposes and shall not
distribute or transfer the PROGRAM or any IMPROVEMENTS to any person without
prior written permission from LICENSOR. The terms "academic, non-commercial",
as used in this Agreement, mean academic or other scholarly research which (a)
is not undertaken for profit, or (b) is not intended to produce works, services,
or data for commercial use, or (c) is neither conducted, nor funded, by a person
or an entity engaged in the commercial use, application or exploitation of works
similar to the PROGRAM.
5. LICENSEE agrees that he/she shall make the following acknowledgement in
publications resulting from the use of the PROGRAM:
Cite the paper titled "Exploiting the Signal-Leak Bias in Diffusion Models",
ideally with the following BibTeX entry:
@InProceedings{Everaert_2024_WACV,
author = {Everaert, Martin Nicolas and Fitsios, Athanasios and Bocchio, Marco and Arpa, Sami and Süsstrunk, Sabine and Achanta, Radhakrishna},
title = {{E}xploiting the {S}ignal-{L}eak {B}ias in {D}iffusion {M}odels},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
year = {2024},
pages = {4025-4034}
}
Except for the above-mentioned acknowledgment, LICENSEE shall not use the
PROGRAM title or the names or logos of LICENSOR, nor any adaptation thereof, nor
the names of any of its employees or laboratories, in any advertising,
promotional or sales material without prior written consent obtained from
LICENSOR in each case.
6. Ownership of all rights, including copyright in the PROGRAM and in any
material associated therewith, shall at all times remain with LICENSOR and
LICENSEE agrees to preserve same. LICENSEE agrees not to use any portion of the
PROGRAM or of any IMPROVEMENTS in any machine-readable form outside the PROGRAM,
nor to make any copies except for its internal use, without prior written
consent of LICENSOR. LICENSEE agrees to place the following copyright notice on
any such copies:
© All rights reserved. EPFL (École Polytechnique Fédérale de Lausanne),
Switzerland, Image and Visual Representation Lab., 2024. Largo.ai, Switzerland,
2024. Author: Martin Nicolas Everaert.
7. The LICENSE shall not be construed to confer any rights upon LICENSEE by
implication or otherwise except as specifically set forth herein.
8. This Agreement shall be governed by the material laws of Switzerland and any
dispute arising out of this Agreement or use of the PROGRAM shall be brought
before the courts of Lausanne, Switzerland.
9. This Agreement and the LICENSE shall be for a term of 5 years except that
upon any breach of this Agreement by LICENSEE, LICENSOR shall have the right to
terminate the LICENSE immediately upon notice to LICENSEE.
License source: https://www.epfl.ch/research/technology-transfer/disclose/manage-your-software/choose/