diff --git a/g1/BMLhandball/citation.bib b/g1/BMLhandball/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..4b2543268ef867b7a06bb1e1790f4fc4781fc88e --- /dev/null +++ b/g1/BMLhandball/citation.bib @@ -0,0 +1,8 @@ +@inproceedings{AMASS_BMLhandball, + author = {Helm, Fabian and Troje, Nikolaus and Reiser, Mathias and Munzert, Jörn}, + year = {2015}, + month = {01}, + pages = {}, + title = {Bewegungsanalyse getäuschter und nicht-getäuschter 7m-Würfe im Handball}, + journal = {47. Jahrestagung der Arbeitsgemeinschaft für Sportpsychologie, Freiburg.} +} \ No newline at end of file diff --git a/g1/BMLhandball/license.txt b/g1/BMLhandball/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f3068d5e192e939a4318f4cb39137e6cd14dec9 --- /dev/null +++ b/g1/BMLhandball/license.txt @@ -0,0 +1,10 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: + +@inproceedings{AMASS_BMLhandball, + author = {Helm, Fabian and Troje, Nikolaus and Reiser, Mathias and Munzert, Jörn}, + year = {2015}, + month = {01}, + pages = {}, + title = {Bewegungsanalyse getäuschter und nicht-getäuschter 7m-Würfe im Handball}, + journal = {47. Jahrestagung der Arbeitsgemeinschaft für Sportpsychologie, Freiburg.} +} \ No newline at end of file diff --git a/g1/CNRS/citation.bib b/g1/CNRS/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..d3657e001daa6560fbadd44d03eb7ed250f0c2d7 --- /dev/null +++ b/g1/CNRS/citation.bib @@ -0,0 +1,25 @@ +@inproceedings{AMASS_KIT-CNRS-EKUT-WEIZMANN, + author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour}, + title = {The {KIT} Whole-Body Human Motion Database}, + booktitle = {International Conference on Advanced Robotics (ICAR)}, + pages = {329--336}, + year = {2015}, +} + +@article{AMASS_KIT-CNRS-EKUT-WEIZMANN-2, + author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour}, + title = {Unifying Representations and Large-Scale Whole-Body Motion Databases for Studying Human Motion}, + pages = {796--809}, + volume = {32}, + number = {4}, + journal = {IEEE Transactions on Robotics}, + year = {2016}, +} + +@inproceedings{AMASS_KIT-CNRS-EKUT-WEIZMANN-3, + author = {Franziska Krebs and Andre Meixner and Isabel Patzer and Tamim Asfour}, + title = {The {KIT} Bimanual Manipulation Dataset}, + booktitle = {IEEE/RAS International Conference on Humanoid Robots (Humanoids)}, + pages = {499--506}, + year = {2021}, +} \ No newline at end of file diff --git a/g1/CNRS/license.txt b/g1/CNRS/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb10f390a5d87ab2e5f0f996f30e2b60d2c86775 --- /dev/null +++ b/g1/CNRS/license.txt @@ -0,0 +1,26 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@inproceedings{AMASS_KIT-CNRS-EKUT-WEIZMANN, + author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour}, + title = {The {KIT} Whole-Body Human Motion Database}, + booktitle = {International Conference on Advanced Robotics (ICAR)}, + pages = {329--336}, + year = {2015}, +} + +@article{AMASS_KIT-CNRS-EKUT-WEIZMANN-2, + author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour}, + title = {Unifying Representations and Large-Scale Whole-Body Motion Databases for Studying Human Motion}, + pages = {796--809}, + volume = {32}, + number = {4}, + journal = {IEEE Transactions on Robotics}, + year = {2016}, +} + +@inproceedings{AMASS_KIT-CNRS-EKUT-WEIZMANN-3, + author = {Franziska Krebs and Andre Meixner and Isabel Patzer and Tamim Asfour}, + title = {The {KIT} Bimanual Manipulation Dataset}, + booktitle = {IEEE/RAS International Conference on Humanoid Robots (Humanoids)}, + pages = {499--506}, + year = {2021}, +} diff --git a/g1/DFaust_67/citation.bib b/g1/DFaust_67/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..406b8e66ac8f023eef1ea7fbbffd643721d481d9 --- /dev/null +++ b/g1/DFaust_67/citation.bib @@ -0,0 +1,8 @@ +@inproceedings{AMASS_DFaust, + title = {Dynamic {FAUST}: {R}egistering Human Bodies in Motion}, + author = {Bogo, Federica and Romero, Javier and Pons-Moll, Gerard and Black, Michael J.}, + booktitle = {IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)}, + month = jul, + year = {2017}, + month_numeric = {7} +} \ No newline at end of file diff --git a/g1/DFaust_67/license.txt b/g1/DFaust_67/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..75cb2262e50fc9d98a63f866266691551cbeb744 --- /dev/null +++ b/g1/DFaust_67/license.txt @@ -0,0 +1,70 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: + +@inproceedings{AMASS_DFaust, + title = {Dynamic {FAUST}: {R}egistering Human Bodies in Motion}, + author = {Bogo, Federica and Romero, Javier and Pons-Moll, Gerard and Black, Michael J.}, + booktitle = {IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)}, + month = jul, + year = {2017}, + month_numeric = {7} +} +License +Software Copyright License for non-commercial scientific research purposes +Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use the DFAUST Software/Data, (the "Software"). By downloading and/or using the Software, you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download and/or use the Software. Any infringement of the terms of this agreement will automatically terminate your rights under this License + +Ownership +The Software and the associated materials has been developed at the + +Max Planck Institute for Intelligent Systems (hereinafter "MPI") and the Max Planck Institute for Biological Cybernetics (hereinafter “KYB”). + +Any copyright or patent right is owned by and proprietary material of the + +Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (hereinafter “MPG”; MPI and MPG hereinafter collectively “Max-Planck”) + +hereinafter the “Licensor”. + +License Grant +Licensor grants you (Licensee) personally a single-user, non-exclusive, non-transferable, free of charge right: + +To install the Software on computers owned, leased or otherwise controlled by you and/or your organization; +To use the Software for the sole purpose of performing non-commercial scientific research, non-commercial education, or non-commercial artistic projects; +To modify, adapt, translate or create derivative works based upon the Software. +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. The Software may not be reproduced, modified and/or made available in any form to any third party without Max-Planck’s prior written permission. + +The Software may not be used for pornographic purposes or to generate pornographic material whether commercial or not. This license also prohibits the use of the Software to train methods/algorithms/neural networks/etc. for commercial use of any kind. By downloading the Software, you agree not to reverse engineer it. + +No Distribution +The Software and the license herein granted shall not be copied, shared, distributed, re-sold, offered for re-sale, transferred or sub-licensed in whole or in part except that you may make one copy for archive purposes only. + +Disclaimer of Representations and Warranties +You expressly acknowledge and agree that the Software results from basic research, is provided “AS IS”, may contain errors, and that any use of the Software is at your sole risk. LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THE SOFTWARE, NEITHER EXPRESS NOR IMPLIED, AND THE ABSENCE OF ANY LEGAL OR ACTUAL DEFECTS, WHETHER DISCOVERABLE OR NOT. Specifically, and not to limit the foregoing, licensor makes no representations or warranties (i) regarding the merchantability or fitness for a particular purpose of the Software, (ii) that the use of the Software will not infringe any patents, copyrights or other intellectual property rights of a third party, and (iii) that the use of the Software will not cause any damage of any kind to you or a third party. + +Limitation of Liability +Because this Software License Agreement qualifies as a donation, according to Section 521 of the German Civil Code (Bürgerliches Gesetzbuch – BGB) Licensor as a donor is liable for intent and gross negligence only. If the Licensor fraudulently conceals a legal or material defect, they are obliged to compensate the Licensee for the resulting damage. +Licensor shall be liable for loss of data only up to the amount of typical recovery costs which would have arisen had proper and regular data backup measures been taken. For the avoidance of doubt Licensor shall be liable in accordance with the German Product Liability Act in the event of product liability. The foregoing applies also to Licensor’s legal representatives or assistants in performance. Any further liability shall be excluded. +Patent claims generated through the usage of the Software cannot be directed towards the copyright holders. +The Software is provided in the state of development the licensor defines. If modified or extended by Licensee, the Licensor makes no claims about the fitness of the Software and is not responsible for any problems such modifications cause. + +No Maintenance Services +You understand and agree that Max-Planck is under no obligation to provide either maintenance services, update services, notices of latent defects, or corrections of defects with regard to the Data. Max-Planck nevertheless reserves the right to update, modify, or discontinue the Data at any time. + +Publications using the Software +You acknowledge that the Software is a valuable scientific resource and agree to appropriately reference the following paper in any publication making use of the Software. + +Citation: + + @inproceedings{dfaust:CVPR:2017, + title = {Dynamic {FAUST}: {R}egistering Human Bodies in Motion}, + author = {Bogo, Federica and Romero, Javier and Pons-Moll, Gerard and Black, Michael J.}, + booktitle = {IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)}, + month = jul, + year = {2017}, + month_numeric = {7} +} +Commercial licensing opportunities +For commercial uses of the Software, please send email to ps-license@tue.mpg.de + +This Agreement shall be governed by the laws of the Federal Republic of Germany except for the UN Sales Convention. + +© 2020 Max-Planck-Gesellschaft - Imprint - Privacy Policy - License +Register Sign In \ No newline at end of file diff --git a/g1/DanceDB/citation.bib b/g1/DanceDB/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..abb8904fc71edb17e303facd4fc53dfe808af373 --- /dev/null +++ b/g1/DanceDB/citation.bib @@ -0,0 +1,18 @@ +@article{AMASS_DanceDB, + author = {Aristidou, Andreas and Shamir, Ariel and Chrysanthou, Yiorgos}, + title = {Digital Dance Ethnography: {O}rganizing Large Dance Collections}, + journal = {J. Comput. Cult. Herit.}, + issue_date = {January 2020}, + volume = {12}, + number = {4}, + month = nov, + year = {2019}, + issn = {1556-4673}, + articleno = {29}, + numpages = {27}, + url = {https://doi.org/10.1145/3344383}, + doi = {10.1145/3344383}, + acmid = {}, + publisher = {Association for Computing Machinery}, + address = {New York, NY, USA}, +} \ No newline at end of file diff --git a/g1/DanceDB/license.txt b/g1/DanceDB/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1c42ce72af6eb9a4e11e0b5e5d5cf4687846d15 --- /dev/null +++ b/g1/DanceDB/license.txt @@ -0,0 +1,93 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: + +Motion capture data used in this work were obtained from _http://dancedb.cs.ucy.ac.cy_, the Dance Motion Capture Database of the University of Cyprus. + +@article{AMASS_DanceDB, + author = {Aristidou, Andreas and Shamir, Ariel and Chrysanthou, Yiorgos}, + title = {Digital Dance Ethnography: {O}rganizing Large Dance Collections}, + journal = {J. Comput. Cult. Herit.}, + issue_date = {January 2020}, + volume = {12}, + number = {4}, + month = nov, + year = {2019}, + issn = {1556-4673}, + articleno = {29}, + numpages = {27}, + url = {https://doi.org/10.1145/3344383}, + doi = {10.1145/3344383}, + acmid = {}, + publisher = {Association for Computing Machinery}, + address = {New York, NY, USA}, +} +License + +Software Copyright License for Non-Commercial Scientific Research Purposes +Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use the DanceDB data and software, including but not limited to 3D meshes, images, videos, textures, software, scripts, and animations (hereinafter referred to as "Data & Software"). By downloading, cloning, installing, or using the Data & Software, you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download or use the Data & Software. Any violation of the terms of this agreement will result in an automatic termination of your rights under this License. + + +1. Ownership and Licensees +The Data & Software and any associated materials are proprietary and developed by the University of Cyprus (hereinafter "UCY" or "Licensor"). All copyright and patent rights are owned by UCY. + + +2. License Grant +The Licensor grants you ("Licensee") a personal, single-user, non-exclusive, non-transferable, royalty-free license to: + +Install the Data & Software on computers owned, leased, or otherwise controlled by you and/or your organization. +Use the Data & Software solely for non-commercial scientific research, non-commercial education, or non-commercial artistic projects. +Prohibited Uses: The following uses are strictly prohibited: + +Commercial purposes, including incorporation in commercial products, services, or artifacts. +Pornographic, military, surveillance, defamatory, or libelous applications. +Use for creating misleading, fake, or malicious content, except for analyses in peer-reviewed scientific research. +Reproduction, modification, or sharing of the Data & Software with third parties without prior written permission from UCY. +Reverse engineering of the Data & Software. +Training Restrictions: The Data & Software may not be used to train methods, algorithms, neural networks, or other models for commercial, pornographic, military, surveillance, or defamatory purposes. + + +3. No Distribution +The Data & Software may not be copied, shared, distributed, sold, resold, transferred, or sublicensed, in whole or in part, except for creating a single archival copy. + + +4. Disclaimer of Warranties +The Data & Software is provided "AS IS" as a result of basic research and may contain errors. Use is at your own risk. UCY makes no warranties, express or implied, including but not limited to: + +Fitness for a particular purpose or merchantability. +Non-infringement of third-party intellectual property rights. +Freedom from defects, whether known or unknown. + +5. Limitation of Liability +The Licensor's liability is limited to intentional or gross negligence. Licensor is not liable for: + +Loss of data; Licensee is responsible for regular data backups. +Any damage resulting from the use or inability to use the Data & Software. +Issues caused by modifications or extensions made by the Licensee. + +6. No Maintenance Services +UCY is not obligated to provide maintenance, updates, defect corrections, or notifications of latent defects. UCY reserves the right to update, modify, or discontinue the Data & Software at its discretion. + +7. Publications Using the Data & Software +If you use the Data & Software in your research, projects, or publications, you are kindly requested to acknowledge and cite the creators of the dataset. Proper attribution helps support the continued development and maintenance of this resource. + +Acknowledgment: The motion capture data used in this work were obtained from the Dance Motion Capture Database of the University of Cyprus, accessible at "http://dancedb.cs.ucy.ac.cy". + +@article{Aristidou:2019:JOCCH, author = {Aristidou, Andreas and Shamir, Ariel and Chrysanthou, Yiorgos}, title = {Digital Dance Ethnography: {O}rganizing Large Dance Collections}, journal = {J. Comput. Cult. Herit.}, issue_date = {January 2020}, volume = {12}, number = {4}, month = nov, year = {2019}, issn = {1556-4673}, articleno = {29}, numpages = {27}, url = {https://doi.org/10.1145/3344383}, doi = {10.1145/3344383}, acmid = {}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, } + + +@Inproceedings{Stavrakis:2012:DanceDB, author = {Stavrakis, Efstathios and Aristidou, Andreas and Savva, Maria and Himona, Stephania Loizidou and Chrysanthou, Yiorgos}, title = {Digitization of Cypriot Folk Dances}, booktitle = {Proceedings of the 4th International Conference on Progress in Cultural Heritage Preservation}, series = {EuroMed'12}, year = {2012}, isbn = {978-3-642-34233-2}, location = {Limassol, Cyprus}, pages = {404--413}, numpages = {10}, url = {http://dx.doi.org/10.1007/978-3-642-34234-9_41}, doi = {10.1007/978-3-642-34234-9_41}, acmid = {2426307}, publisher = {Springer-Verlag}, address = {Berlin, Heidelberg}, } + + +8. Subjects' Consent +All data shared by subjects have been obtained with informed written consent. Licensee agrees to: + +Comply with any restrictions specified in the license or download section. +Delete data or adjust usage if a subject withdraws their consent. + +9. Commercial Licensing Opportunities +For any commercial use of the Data & Software, including but not limited to integration into commercial products or services, training of commercial algorithms, or any use beyond the scope of this license, please contact us to discuss licensing options. + +Contact: graphics@ucy.ac.cy + + +10. Governing Law +This Agreement shall be governed by and construed in accordance with the laws and regulations of the European Union, without regard to its conflict of laws principles. \ No newline at end of file diff --git a/g1/Eyes_Japan_Dataset/citation.bib b/g1/Eyes_Japan_Dataset/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..1478857ee25730ec892795d4dde670ab628ba459 --- /dev/null +++ b/g1/Eyes_Japan_Dataset/citation.bib @@ -0,0 +1,5 @@ +@misc{AMASS_EyesJapanDataset, + title = {{Eyes Japan MoCap Dataset}}, + author = {Eyes JAPAN Co. Ltd.}, + url = {http://mocapdata.com} +} \ No newline at end of file diff --git a/g1/Eyes_Japan_Dataset/license.txt b/g1/Eyes_Japan_Dataset/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..c28d1d96bf7099f52504ab47d4be55ca0ff2e6ef --- /dev/null +++ b/g1/Eyes_Japan_Dataset/license.txt @@ -0,0 +1,31 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: + +@misc{AMASS_EyesJapanDataset, + title = {{Eyes Japan MoCap Dataset}}, + author = {Eyes JAPAN Co. Ltd.}, + url = {http://mocapdata.com} +} +When you use our data, please show our credit as: + + This motion capture data is licensed by mocapdata.com, Eyes, JAPAN Co. Ltd. under the Creative Commons Attribution 2.1 Japan License. + To view a copy of this license, contact mocapdata.com, Eyes, JAPAN Co. Ltd. or visit http://creativecommons.org/licenses/by/2.1/jp/. + http://mocapdata.com/ + (C) Copyright Eyes, JAPAN Co. Ltd. 2008-2009. + +Your credit is only our hope, thanks for supporting Free culture! +Please let us know your works using our data so that we can introduce on our site, too. + +This data is under CC license, Attribution-Share Alike 2.1 Japan + +You are free: + - to Share to copy, distribute and transmit the work + - to Remix to adapt the work + +Under the following conditions: + - Attribution: You must attribute the work in the manner specified by the author or licensor. + - Share Alike: If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar licence to this one. + +For more detail, please refer to: http://creativecommons.org/licenses/by-sa/2.1/jp/deed.en + +If you have any questions and comments, please contact info@mocapdata.com. +Also, if you need your original mocap data or data use without credit, please feel free to contact us. \ No newline at end of file diff --git a/g1/GRAB/citation.bib b/g1/GRAB/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..a62f5fcf2350c3b0736f490b15c5df67c8cc9892 --- /dev/null +++ b/g1/GRAB/citation.bib @@ -0,0 +1,15 @@ +@inproceedings{AMASS_GRAB, + title = {{GRAB}: A Dataset of Whole-Body Human Grasping of Objects}, + author = {Taheri, Omid and Ghorbani, Nima and Black, Michael J. and Tzionas, Dimitrios}, + booktitle = {European Conference on Computer Vision (ECCV)}, + year = {2020}, + url = {https://grab.is.tue.mpg.de} +} + +@inproceedings{AMASS_GRAB-2, + title = {{ContactDB}: Analyzing and Predicting Grasp Contact via Thermal Imaging}, + author = {Brahmbhatt, Samarth and Ham, Cusuh and Kemp, Charles C. and Hays, James}, + booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, + year = {2019}, + url = {https://contactdb.cc.gatech.edu} +} \ No newline at end of file diff --git a/g1/GRAB/license.txt b/g1/GRAB/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c6789df1969155dd5ef478bc43b7016398c1cdb --- /dev/null +++ b/g1/GRAB/license.txt @@ -0,0 +1,72 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@inproceedings{AMASS_GRAB, + title = {{GRAB}: A Dataset of Whole-Body Human Grasping of Objects}, + author = {Taheri, Omid and Ghorbani, Nima and Black, Michael J. and Tzionas, Dimitrios}, + booktitle = {European Conference on Computer Vision (ECCV)}, + year = {2020}, + url = {https://grab.is.tue.mpg.de} +} + +@inproceedings{AMASS_GRAB-2, + title = {{ContactDB}: Analyzing and Predicting Grasp Contact via Thermal Imaging}, + author = {Brahmbhatt, Samarth and Ham, Cusuh and Kemp, Charles C. and Hays, James}, + booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, + year = {2019}, + url = {https://contactdb.cc.gatech.edu} +} +License +Software Copyright License for non-commercial scientific research purposes +Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use the GRAB data and software, (the "Data & Software"), including 3D meshes, images, videos, textures, software, scripts, and animations. By downloading and/or using the Data & Software (including downloading, cloning, installing, and any other use of the corresponding github repository), you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download and/or use the Data & Software. Any infringement of the terms of this agreement will automatically terminate your rights under this License + +Ownership / Licensees +The Software and the associated materials has been developed at the Max Planck Institute for Intelligent Systems (hereinafter "MPI"). + +Any copyright or patent right is owned by and proprietary material of the Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (hereinafter “MPG”; MPI and MPG hereinafter collectively “Max-Planck” or “Licensor”). + +License Grant +Licensor grants you (Licensee) personally a single-user, non-exclusive, non-transferable, free of charge right: + +To install the Data & Software on computers owned, leased or otherwise controlled by you and/or your organization; +To use the Data & 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, pornographic, military, or surveillance, purposes is prohibited. This includes, without limitation, incorporation in a commercial product, use in a commercial service, or production of other artifacts for commercial purposes. The Data & Software may not be used to create fake, libelous, misleading, or defamatory content of any kind excluding analyses in peer-reviewed scientific research. The Data & Software may not be reproduced, modified and/or made available in any form to any third party without Max-Planck’s prior written permission. + +The Data & Software may not be used for pornographic purposes or to generate pornographic material whether commercial or not. This license also prohibits the use of the Software to train methods/algorithms/neural networks/etc. for commercial, pornographic, military, surveillance, or defamatory use of any kind. By downloading the Data & Software, you agree not to reverse engineer it. + +No Distribution +The Data & Software and the license herein granted shall not be copied, shared, distributed, re-sold, offered for re-sale, transferred or sub-licensed in whole or in part except that you may make one copy for archive purposes only. + +Disclaimer of Representations and Warranties +You expressly acknowledge and agree that the Data & Software results from basic research, is provided “AS IS”, may contain errors, and that any use of the Data & Software is at your sole risk. LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THE DATA & SOFTWARE, NEITHER EXPRESS NOR IMPLIED, AND THE ABSENCE OF ANY LEGAL OR ACTUAL DEFECTS, WHETHER DISCOVERABLE OR NOT. Specifically, and not to limit the foregoing, licensor makes no representations or warranties (i) regarding the merchantability or fitness for a particular purpose of the Data & Software, (ii) that the use of the Data & Software will not infringe any patents, copyrights or other intellectual property rights of a third party, and (iii) that the use of the Data & Software will not cause any damage of any kind to you or a third party. + +Limitation of Liability +Because this Data & Software License Agreement qualifies as a donation, according to Section 521 of the German Civil Code (Bürgerliches Gesetzbuch – BGB) Licensor as a donor is liable for intent and gross negligence only. If the Licensor fraudulently conceals a legal or material defect, they are obliged to compensate the Licensee for the resulting damage. +Licensor shall be liable for loss of data only up to the amount of typical recovery costs which would have arisen had proper and regular data backup measures been taken. For the avoidance of doubt Licensor shall be liable in accordance with the German Product Liability Act in the event of product liability. The foregoing applies also to Licensor’s legal representatives or assistants in performance. Any further liability shall be excluded. +Patent claims generated through the usage of the Data & Software cannot be directed towards the copyright holders. +The Data & Software is provided in the state of development the licensor defines. If modified or extended by Licensee, the Licensor makes no claims about the fitness of the Data & Software and is not responsible for any problems such modifications cause. + +No Maintenance Services +You understand and agree that Licensor is under no obligation to provide either maintenance services, update services, notices of latent defects, or corrections of defects with regard to the Data & Software. Licensor nevertheless reserves the right to update, modify, or discontinue the Data & Software at any time. + +Defects of the Data & Software must be notified in writing to the Licensor with a comprehensible description of the error symptoms. The notification of the defect should enable the reproduction of the error. The Licensee is encouraged to communicate any use, results, modification or publication. + +Publications using the Data & Software +You acknowledge that the Data & Software is a valuable scientific resource and agree to appropriately reference the following paper in any publication making use of the Data & Software. + +Subjects' Consent: + +All subjects gave informed written consent to share their data for research purposes. The license and downloads-section include explicit restrictions per subject, to which you agree to comply with. You further agree to delete data or change their use, in case a subject changes or withdraws their consent. + +Citation: + +``` + +@inproceedings{GRAB:2020, title = {{GRAB}: A Dataset of Whole-Body Human Grasping of Objects}, author = {Taheri, Omid and Ghorbani, Nima and Black, Michael J. and Tzionas, Dimitrios}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2020}, url = {https://grab.is.tue.mpg.de} } ``` + +``` + +@InProceedings{Brahmbhatt 2019 CVPR, title = {{ContactDB}: Analyzing and Predicting Grasp Contact via Thermal Imaging}, author = {Brahmbhatt, Samarth and Ham, Cusuh and Kemp, Charles C. and Hays, James}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, url = {https://contactdb.cc.gatech.edu} } ``` + +Commercial licensing opportunities +For commercial uses of the Data & Software, please send email to ps-license@tue.mpg.de + +This Agreement shall be governed by the laws of the Federal Republic of Germany except for the UN Sales Convention. \ No newline at end of file diff --git a/g1/HUMAN4D/citation.bib b/g1/HUMAN4D/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..00322ec77a86865474015dd7e2696c016b51554c --- /dev/null +++ b/g1/HUMAN4D/citation.bib @@ -0,0 +1,9 @@ +@article{AMASS_HUMAN4D, + title = {HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media}, + author = {Chatzitofis, Anargyros and Saroglou, Leonidas and Boutis, Prodromos and Drakoulis, Petros and Zioulis, Nikolaos and Subramanyam, Shishir and Kevelham, Bart and Charbonnier, Caecilia and Cesar, Pablo and Zarpalas, Dimitrios and others}, + journal = {IEEE Access}, + volume = {8}, + pages = {176241--176262}, + year = {2020}, + publisher = {IEEE} +} \ No newline at end of file diff --git a/g1/HUMAN4D/license.txt b/g1/HUMAN4D/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..669b164bc15f295d6def068525c60085f6004d2a --- /dev/null +++ b/g1/HUMAN4D/license.txt @@ -0,0 +1,10 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@article{AMASS_HUMAN4D, + title = {HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media}, + author = {Chatzitofis, Anargyros and Saroglou, Leonidas and Boutis, Prodromos and Drakoulis, Petros and Zioulis, Nikolaos and Subramanyam, Shishir and Kevelham, Bart and Charbonnier, Caecilia and Cesar, Pablo and Zarpalas, Dimitrios and others}, + journal = {IEEE Access}, + volume = {8}, + pages = {176241--176262}, + year = {2020}, + publisher = {IEEE} +} diff --git a/g1/KIT/1717/displace_from_left_to_right_03_poses_100_jpos.npy b/g1/KIT/1717/displace_from_left_to_right_03_poses_100_jpos.npy new file mode 100644 index 0000000000000000000000000000000000000000..c5ffb161f972d2dd77f3c16208d4d122862a99ed --- /dev/null +++ b/g1/KIT/1717/displace_from_left_to_right_03_poses_100_jpos.npy @@ -0,0 +1,3 @@ +version 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sha256:fa3cfd0f2070173fc65dafa1ed7158f730a5ef696157f317f9210babd157bfef +size 2265824 diff --git a/g1/MOYO_smplh_gendered/citation.bib b/g1/MOYO_smplh_gendered/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..d57b09226c0272d4fe0895afa9328f26b6f446a6 --- /dev/null +++ b/g1/MOYO_smplh_gendered/citation.bib @@ -0,0 +1,7 @@ +@inproceedings{tripathi2023ipman, + title = {{3D} Human Pose Estimation via Intuitive Physics}, + author = {Tripathi, Shashank and M{\"u}ller, Lea and Huang, Chun-Hao P. and Taheri Omid and Black, Michael J. and Tzionas, Dimitrios}, + booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, + month = {June} + year = {2023} +} diff --git a/g1/MOYO_smplh_gendered/moyo_acknowledgements.txt b/g1/MOYO_smplh_gendered/moyo_acknowledgements.txt new file mode 100644 index 0000000000000000000000000000000000000000..d516f98ac1e20a33ff51b9efe8905225e83c1e79 --- /dev/null +++ b/g1/MOYO_smplh_gendered/moyo_acknowledgements.txt @@ -0,0 +1,6 @@ +Acknowledgements + +Constructing the MOYO dataset is a huge effort. The authors deeply thank Tsvetelina Alexiadis, Taylor McConnell, Claudia Gallatz, Markus Höschle, Senya Polikovsky, Camilo Mendoza, Yasemin Fincan, Leyre Sanchez and Matvey Safroshkin for data collection, Giorgio Becherini for MoSh++, Joachim Tesch and Nikos Athanasiou for visualizations, Zicong Fan, Vasselis Choutas and all of Perceiving Systems for fruitful discussions. This work was funded by the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and in part by the German Federal Ministry of Education and Research (BMBF), Tübingen AI Center, FKZ: 01IS18039B.". + +We would also like to extend a special thanks to Giorgio Becherini and Neelay Shah for helping with the release of the AMASS version of the MOYO dataset. + diff --git a/g1/MPI_mosh/citation.bib b/g1/MPI_mosh/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..ef35fc63a71c9c56e3382983dee68f0a3881c82d --- /dev/null +++ b/g1/MPI_mosh/citation.bib @@ -0,0 +1,15 @@ +@article{AMASS_MoSh, + title = {{MoSh}: Motion and Shape Capture from Sparse Markers}, + author = {Loper, Matthew M. and Mahmood, Naureen and Black, Michael J.}, + address = {New York, NY, USA}, + publisher = {ACM}, + month = nov, + number = {6}, + volume = {33}, + pages = {220:1--220:13}, + abstract = {Marker-based motion capture (mocap) is widely criticized as producing lifeless animations. We argue that important information about body surface motion is present in standard marker sets but is lost in extracting a skeleton. We demonstrate a new approach called MoSh (Motion and Shape capture), that automatically extracts this detail from mocap data. MoSh estimates body shape and pose together using sparse marker data by exploiting a parametric model of the human body. In contrast to previous work, MoSh solves for the marker locations relative to the body and estimates accurate body shape directly from the markers without the use of 3D scans; this effectively turns a mocap system into an approximate body scanner. MoSh is able to capture soft tissue motions directly from markers, by allowing body shape to vary over time. We evaluate the effect of different marker sets on pose and shape accuracy and propose a new sparse marker set for capturing soft-tissue motion. We illustrate MoSh by recovering body shape, pose, and soft-tissue motion from archival mocap data and using this to produce animations with subtlety and realism. We also show soft-tissue motion retargeting to new characters and show how to magnify the 3D deformations of soft tissue to create animations with appealing exaggerations.}, + journal = {ACM Transactions on Graphics, (Proc. SIGGRAPH Asia)}, + url = {http://doi.acm.org/10.1145/2661229.2661273}, + year = {2014}, + doi = {10.1145/2661229.2661273} +} \ No newline at end of file diff --git a/g1/MPI_mosh/license.txt b/g1/MPI_mosh/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..864d578d7417f9f9d89ee942b3ffe0980ee74510 --- /dev/null +++ b/g1/MPI_mosh/license.txt @@ -0,0 +1,67 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@article{AMASS_MoSh, + title = {{MoSh}: Motion and Shape Capture from Sparse Markers}, + author = {Loper, Matthew M. and Mahmood, Naureen and Black, Michael J.}, + address = {New York, NY, USA}, + publisher = {ACM}, + month = nov, + number = {6}, + volume = {33}, + pages = {220:1--220:13}, + abstract = {Marker-based motion capture (mocap) is widely criticized as producing lifeless animations. We argue that important information about body surface motion is present in standard marker sets but is lost in extracting a skeleton. We demonstrate a new approach called MoSh (Motion and Shape capture), that automatically extracts this detail from mocap data. MoSh estimates body shape and pose together using sparse marker data by exploiting a parametric model of the human body. In contrast to previous work, MoSh solves for the marker locations relative to the body and estimates accurate body shape directly from the markers without the use of 3D scans; this effectively turns a mocap system into an approximate body scanner. MoSh is able to capture soft tissue motions directly from markers, by allowing body shape to vary over time. We evaluate the effect of different marker sets on pose and shape accuracy and propose a new sparse marker set for capturing soft-tissue motion. We illustrate MoSh by recovering body shape, pose, and soft-tissue motion from archival mocap data and using this to produce animations with subtlety and realism. We also show soft-tissue motion retargeting to new characters and show how to magnify the 3D deformations of soft tissue to create animations with appealing exaggerations.}, + journal = {ACM Transactions on Graphics, (Proc. SIGGRAPH Asia)}, + url = {http://doi.acm.org/10.1145/2661229.2661273}, + year = {2014}, + doi = {10.1145/2661229.2661273} +} +License +Software Copyright License for non-commercial scientific research purposes +Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use the MOSH Software/Data, (the "Software"). By downloading and/or using the Software, you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download and/or use the Software. Any infringement of the terms of this agreement will automatically terminate your rights under this License + +Ownership +The Software and the associated materials has been developed at the + +Max Planck Institute for Intelligent Systems (hereinafter "MPI") and the Max Planck Institute for Biological Cybernetics (hereinafter “KYB”). + +Any copyright or patent right is owned by and proprietary material of the + +Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (hereinafter “MPG”; MPI and MPG hereinafter collectively “Max-Planck”) + +hereinafter the “Licensor”. + +License Grant +Licensor grants you (Licensee) personally a single-user, non-exclusive, non-transferable, free of charge right: + +To install the Software on computers owned, leased or otherwise controlled by you and/or your organization; +To use the Software for the sole purpose of performing non-commercial scientific research, non-commercial education, or non-commercial artistic projects; +To modify, adapt, translate or create derivative works based upon the Software. +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. The Software may not be reproduced, modified and/or made available in any form to any third party without Max-Planck’s prior written permission. + +The Software may not be used for pornographic purposes or to generate pornographic material whether commercial or not. This license also prohibits the use of the Software to train methods/algorithms/neural networks/etc. for commercial use of any kind. By downloading the Software, you agree not to reverse engineer it. + +No Distribution +The Software and the license herein granted shall not be copied, shared, distributed, re-sold, offered for re-sale, transferred or sub-licensed in whole or in part except that you may make one copy for archive purposes only. + +Disclaimer of Representations and Warranties +You expressly acknowledge and agree that the Software results from basic research, is provided “AS IS”, may contain errors, and that any use of the Software is at your sole risk. LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THE SOFTWARE, NEITHER EXPRESS NOR IMPLIED, AND THE ABSENCE OF ANY LEGAL OR ACTUAL DEFECTS, WHETHER DISCOVERABLE OR NOT. Specifically, and not to limit the foregoing, licensor makes no representations or warranties (i) regarding the merchantability or fitness for a particular purpose of the Software, (ii) that the use of the Software will not infringe any patents, copyrights or other intellectual property rights of a third party, and (iii) that the use of the Software will not cause any damage of any kind to you or a third party. + +Limitation of Liability +Because this Software License Agreement qualifies as a donation, according to Section 521 of the German Civil Code (Bürgerliches Gesetzbuch – BGB) Licensor as a donor is liable for intent and gross negligence only. If the Licensor fraudulently conceals a legal or material defect, they are obliged to compensate the Licensee for the resulting damage. +Licensor shall be liable for loss of data only up to the amount of typical recovery costs which would have arisen had proper and regular data backup measures been taken. For the avoidance of doubt Licensor shall be liable in accordance with the German Product Liability Act in the event of product liability. The foregoing applies also to Licensor’s legal representatives or assistants in performance. Any further liability shall be excluded. +Patent claims generated through the usage of the Software cannot be directed towards the copyright holders. +The Software is provided in the state of development the licensor defines. If modified or extended by Licensee, the Licensor makes no claims about the fitness of the Software and is not responsible for any problems such modifications cause. + +No Maintenance Services +You understand and agree that Max-Planck is under no obligation to provide either maintenance services, update services, notices of latent defects, or corrections of defects with regard to the Data. Max-Planck nevertheless reserves the right to update, modify, or discontinue the Data at any time. + +Publications using the Software +You acknowledge that the Software is a valuable scientific resource and agree to appropriately reference the following paper in any publication making use of the Software. + +Citation: + +@article{Loper:SIGASIA:2014, title = {{MoSh}: Motion and Shape Capture from Sparse Markers}, author = {Loper, Matthew M. and Mahmood, Naureen and Black, Michael J.}, address = {New York, NY, USA}, publisher = {ACM}, month = nov, number = {6}, volume = {33}, pages = {220:1--220:13}, abstract = {Marker-based motion capture (mocap) is widely criticized as producing lifeless animations. We argue that important information about body surface motion is present in standard marker sets but is lost in extracting a skeleton. We demonstrate a new approach called MoSh (Motion and Shape capture), that automatically extracts this detail from mocap data. MoSh estimates body shape and pose together using sparse marker data by exploiting a parametric model of the human body. In contrast to previous work, MoSh solves for the marker locations relative to the body and estimates accurate body shape directly from the markers without the use of 3D scans; this effectively turns a mocap system into an approximate body scanner. MoSh is able to capture soft tissue motions directly from markers by allowing body shape to vary over time. We evaluate the effect of different marker sets on pose and shape accuracy and propose a new sparse marker set for capturing soft-tissue motion. We illustrate MoSh by recovering body shape, pose, and soft-tissue motion from archival mocap data and using this to produce animations with subtlety and realism. We also show soft-tissue motion retargeting to new characters and show how to magnify the 3D deformations of soft tissue to create animations with appealing exaggerations.}, journal = {ACM Transactions on Graphics, (Proc. SIGGRAPH Asia)}, url = {http://doi.acm.org/10.1145/2661229.2661273}, year = {2014}, doi = {10.1145/2661229.2661273} } + +Commercial licensing opportunities +For commercial uses of the Software, please send email to ps-license@tue.mpg.de + +This Agreement shall be governed by the laws of the Federal Republic of Germany except for the UN Sales Convention. \ No newline at end of file diff --git a/g1/SFU/citation.bib b/g1/SFU/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..46a626c3f48e13d10d4a53f961dcca9157f1db8f --- /dev/null +++ b/g1/SFU/citation.bib @@ -0,0 +1,5 @@ +@misc{AMASS_SFU, + title = {{SFU Motion Capture Database}}, + author = {Simon Fraser University and National University of Singapore}, + url = {http://mocap.cs.sfu.ca/} +} \ No newline at end of file diff --git a/g1/SFU/license.txt b/g1/SFU/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f106eeba65768c920e05a1b75def19f771c7db2 --- /dev/null +++ b/g1/SFU/license.txt @@ -0,0 +1,9 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@misc{AMASS_SFU, + title = {{SFU Motion Capture Database}}, + author = {Simon Fraser University and National University of Singapore}, + url = {http://mocap.cs.sfu.ca/} +} +The collection of the data in this database is supported by Simon Fraser University and National University of Singapore. This dataset of motions is free for research purposes. The data cannot be used for commercial products or resale, unfortunately. If you publish results obtained using this data, we would appreciate it if you would add this text to your acknowledgments section: + +The data used in this project was obtained from http://mocap.cs.sfu.ca . The database was created with funding from NUS AcRF R-252-000-429-133 and SFU President’s Research Start-up Grant. \ No newline at end of file diff --git a/g1/Transitions_mocap/license.txt b/g1/Transitions_mocap/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab98226bbd2c475aab0e9054de790ffe44792511 --- /dev/null +++ b/g1/Transitions_mocap/license.txt @@ -0,0 +1,8 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: + +@misc{AMASS_CMU, + title = {{CMU MoCap Dataset}}, + author = {{Carnegie Mellon University}}, + url = {http://mocap.cs.cmu.edu} +} +This data is free for use in research projects. You may include this data in commercially-sold products, but you may not resell this data directly, even in converted form. If you publish results obtained using this data, we would appreciate it if you would send the citation to your published paper to jkh+mocap@cs.cmu.edu, and also would add this text to your acknowledgments section: _The data used in this project was obtained from mocap.cs.cmu.edu. The database was created with funding from NSF EIA-0196217._ \ No newline at end of file diff --git a/g1/WEIZMANN/citation.bib b/g1/WEIZMANN/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..d3657e001daa6560fbadd44d03eb7ed250f0c2d7 --- /dev/null +++ b/g1/WEIZMANN/citation.bib @@ -0,0 +1,25 @@ +@inproceedings{AMASS_KIT-CNRS-EKUT-WEIZMANN, + author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour}, + title = {The {KIT} Whole-Body Human Motion Database}, + booktitle = {International Conference on Advanced Robotics (ICAR)}, + pages = {329--336}, + year = {2015}, +} + +@article{AMASS_KIT-CNRS-EKUT-WEIZMANN-2, + author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour}, + title = {Unifying Representations and Large-Scale Whole-Body Motion Databases for Studying Human Motion}, + pages = {796--809}, + volume = {32}, + number = {4}, + journal = {IEEE Transactions on Robotics}, + year = {2016}, +} + +@inproceedings{AMASS_KIT-CNRS-EKUT-WEIZMANN-3, + author = {Franziska Krebs and Andre Meixner and Isabel Patzer and Tamim Asfour}, + title = {The {KIT} Bimanual Manipulation Dataset}, + booktitle = {IEEE/RAS International Conference on Humanoid Robots (Humanoids)}, + pages = {499--506}, + year = {2021}, +} \ No newline at end of file diff --git a/g1/WEIZMANN/license.txt b/g1/WEIZMANN/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb10f390a5d87ab2e5f0f996f30e2b60d2c86775 --- /dev/null +++ b/g1/WEIZMANN/license.txt @@ -0,0 +1,26 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@inproceedings{AMASS_KIT-CNRS-EKUT-WEIZMANN, + author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour}, + title = {The {KIT} Whole-Body Human Motion Database}, + booktitle = {International Conference on Advanced Robotics (ICAR)}, + pages = {329--336}, + year = {2015}, +} + +@article{AMASS_KIT-CNRS-EKUT-WEIZMANN-2, + author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour}, + title = {Unifying Representations and Large-Scale Whole-Body Motion Databases for Studying Human Motion}, + pages = {796--809}, + volume = {32}, + number = {4}, + journal = {IEEE Transactions on Robotics}, + year = {2016}, +} + +@inproceedings{AMASS_KIT-CNRS-EKUT-WEIZMANN-3, + author = {Franziska Krebs and Andre Meixner and Isabel Patzer and Tamim Asfour}, + title = {The {KIT} Bimanual Manipulation Dataset}, + booktitle = {IEEE/RAS International Conference on Humanoid Robots (Humanoids)}, + pages = {499--506}, + year = {2021}, +}