{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:48:26Z","timestamp":1740102506974,"version":"3.37.3"},"publisher-location":"New York, NY, USA","reference-count":87,"publisher":"ACM","funder":[{"name":"European Innovation Council","award":["10101777"]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["770784"],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002765","name":"Bundesministerium f\u00fcr Wirtschaft und Technologie","doi-asserted-by":"publisher","award":["9A21022C"],"id":[{"id":"10.13039\/501100002765","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100023293","name":"Finnish Center for Artificial Intelligence","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100023293","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["67794-2022"],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"International Research Max-Planck Research School for Trusted Computing"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,10]]},"DOI":"10.1145\/3610548.3618176","type":"proceedings-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T17:28:40Z","timestamp":1702315720000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Discovering Fatigued Movements for Virtual Character Animation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1275-4080","authenticated-orcid":false,"given":"Noshaba","family":"Cheema","sequence":"first","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany and Max-Planck Institute for Informatics, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9163-0742","authenticated-orcid":false,"given":"Rui","family":"Xu","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence, Germany and Saarland University, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9172-624X","authenticated-orcid":false,"given":"Nam Hee","family":"Kim","sequence":"additional","affiliation":[{"name":"Aalto University, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7764-3459","authenticated-orcid":false,"given":"Perttu","family":"H\u00e4m\u00e4l\u00e4inen","sequence":"additional","affiliation":[{"name":"Aalto University, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1630-2006","authenticated-orcid":false,"given":"Vladislav","family":"Golyanik","sequence":"additional","affiliation":[{"name":"Max-Planck-Institut f\u00fcr Informatik, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3899-7515","authenticated-orcid":false,"given":"Marc","family":"Habermann","sequence":"additional","affiliation":[{"name":"Max-Planck-Institut f\u00fcr Informatik, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6104-6625","authenticated-orcid":false,"given":"Christian","family":"Theobalt","sequence":"additional","affiliation":[{"name":"Max-Planck-Institut f\u00fcr Informatik, Germany and Saarland University, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2189-2429","authenticated-orcid":false,"given":"Philipp","family":"Slusallek","sequence":"additional","affiliation":[{"name":"Saarland University, Germany and German Research Center for Artificial Intelligence, Germany"}]}],"member":"320","published-online":{"date-parts":[[2023,12,11]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2012.01.029"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.1392310"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591487"},{"key":"e_1_3_2_2_4_1","volume-title":"Emergent tool use from multi-agent autocurricula. arXiv preprint arXiv:1909.07528","author":"Baker Bowen","year":"2019","unstructured":"Bowen Baker, Ingmar Kanitscheider, Todor Markov, Yi Wu, Glenn Powell, Bob McGrew, and Igor Mordatch. 2019. Emergent tool use from multi-agent autocurricula. arXiv preprint arXiv:1909.07528 (2019)."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356536"},{"key":"e_1_3_2_2_6_1","volume-title":"Proc. of Nucl. ai 2015","author":"B\u00fcttner Michael","year":"2015","unstructured":"Michael B\u00fcttner and Simon Clavet. 2015. Motion matching-the road to next gen animation. Proc. of Nucl. ai 2015, 1 (2015)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376701"},{"key":"e_1_3_2_2_8_1","unstructured":"CMU. 2003. CMU Graphics Lab Motion Capture Database. http:\/\/mocap.cs.cmu.edu\/"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1781156"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1152\/jappl.2000.89.4.1322"},{"volume-title":"Rigid body dynamics algorithms","author":"Featherstone Roy","key":"e_1_3_2_2_11_1","unstructured":"Roy Featherstone. 2014. Rigid body dynamics algorithms. Springer."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487294"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/00140130903389068"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2012.04.018"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3478513.3480527"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508399"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2010.2047592"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Yohanan Giat Joseph Mizrahi and Mark Levy. 1996. A model of fatigue and recovery in paraplegic\u2019s quadriceps muscle subjected to intermittent FES. (1996).","DOI":"10.1115\/1.2796018"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/10.237696"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2767002"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591525"},{"key":"e_1_3_2_2_22_1","volume-title":"Generative adversarial imitation learning. Advances in neural information processing systems 29","author":"Ho Jonathan","year":"2016","unstructured":"Jonathan Ho and Stefano Ermon. 2016. Generative adversarial imitation learning. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073663"},{"key":"e_1_3_2_2_24_1","volume-title":"From swimming to walking with a salamander robot driven by a spinal cord model. science 315, 5817","author":"Ijspeert Auke\u00a0Jan","year":"2007","unstructured":"Auke\u00a0Jan Ijspeert, Alessandro Crespi, Dimitri Ryczko, and Jean-Marie Cabelguen. 2007. From swimming to walking with a salamander robot driven by a spinal cord model. science 315, 5817 (2007), 1416\u20131420."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025523"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322966"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2019406.2019423"},{"key":"e_1_3_2_2_28_1","volume-title":"Creating and retargetting motion by the musculoskeletal human body model. The visual computer 16, 5","author":"Komura Taku","year":"2000","unstructured":"Taku Komura, Yoshihisa Shinagawa, and Tosiyasu\u00a0L Kunii. 2000. Creating and retargetting motion by the musculoskeletal human body model. The visual computer 16, 5 (2000), 254\u2013270."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/566570.566605"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/566570.566607"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459826"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530719"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459774"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322972"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201330"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/1559755.1559756"},{"key":"e_1_3_2_2_37_1","volume-title":"ACM SIGGRAPH 2006 Papers. 1188\u20131198","author":"Lee Sung-Hee","year":"2006","unstructured":"Sung-Hee Lee and Demetri Terzopoulos. 2006. Heads up! Biomechanical modeling and neuromuscular control of the neck. In ACM SIGGRAPH 2006 Papers. 1188\u20131198."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1833349.1781155"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661233"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185524"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3495(02)75580-X"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3083723"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201315"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2018.06.005"},{"key":"e_1_3_2_2_45_1","volume-title":"Isaac gym: High performance gpu-based physics simulation for robot learning. arXiv preprint arXiv:2108.10470","author":"Makoviychuk Viktor","year":"2021","unstructured":"Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, 2021. Isaac gym: High performance gpu-based physics simulation for robot learning. arXiv preprint arXiv:2108.10470 (2021)."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2008.03.010"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366172"},{"key":"e_1_3_2_2_48_1","volume-title":"International Conference on Machine Learning (ICML).","author":"Nair Vinod","year":"2010","unstructured":"Vinod Nair and Geoffrey\u00a0E Hinton. 2010. Rectified linear units improve restricted boltzmann machines. In International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_2_49_1","volume-title":"Generative GaitNet. In ACM SIGGRAPH 2022 Conference Proceedings.","author":"Park Jungnam","year":"2022","unstructured":"Jungnam Park, Sehee Min, Phil\u00a0Sik Chang, Jaedong Lee, Moon\u00a0Seok Park, and Jehee Lee. 2022. Generative GaitNet. In ACM SIGGRAPH 2022 Conference Proceedings."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356501"},{"key":"e_1_3_2_2_51_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.70"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201311"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925881"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530110"},{"key":"e_1_3_2_2_56_1","volume-title":"AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control. arXiv preprint arXiv:2104.02180","author":"Peng Xue\u00a0Bin","year":"2021","unstructured":"Xue\u00a0Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, and Angjoo Kanazawa. 2021. AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control. arXiv preprint arXiv:2104.02180 (2021)."},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/122718.122755"},{"key":"e_1_3_2_2_58_1","volume-title":"Internationale Zeitschrift f\u00fcr angewandte Physiologie einschlie\u00dflich Arbeitsphysiologie 18, 2","author":"Rohmert Walter","year":"1960","unstructured":"Walter Rohmert. 1960. Ermittlung von Erholungspausen f\u00fcr statische Arbeit des Menschen. Internationale Zeitschrift f\u00fcr angewandte Physiologie einschlie\u00dflich Arbeitsphysiologie 18, 2 (1960), 123\u2013164."},{"key":"e_1_3_2_2_59_1","volume-title":"Proceedings of the fourteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 627\u2013635","author":"Ross St\u00e9phane","year":"2011","unstructured":"St\u00e9phane Ross, Geoffrey Gordon, and Drew Bagnell. 2011. A reduction of imitation learning and structured prediction to no-regret online learning. In Proceedings of the fourteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 627\u2013635."},{"key":"e_1_3_2_2_60_1","volume-title":"International conference on machine learning. PMLR","author":"Schulman John","year":"2015","unstructured":"John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan, and Philipp Moritz. 2015. Trust region policy optimization. In International conference on machine learning. PMLR, 1889\u20131897."},{"key":"e_1_3_2_2_61_1","volume-title":"Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347","author":"Schulman John","year":"2017","unstructured":"John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347 (2017)."},{"key":"e_1_3_2_2_62_1","unstructured":"SFU. 2019. SFU Motion Capture Database. https:\/\/mocap.cs.sfu.ca\/"},{"key":"e_1_3_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392450"},{"key":"e_1_3_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/1399504.1360682"},{"key":"e_1_3_2_2_65_1","unstructured":"Richard\u00a0S Sutton Andrew\u00a0G Barto 1998. Introduction to reinforcement learning. (1998)."},{"key":"e_1_3_2_2_66_1","volume-title":"A model of the neuro-musculo-skeletal system for human locomotion. Biological cybernetics 73, 2","author":"Taga Gentaro","year":"1995","unstructured":"Gentaro Taga. 1995. A model of the neuro-musculo-skeletal system for human locomotion. Biological cybernetics 73, 2 (1995), 97\u2013111."},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386025"},{"key":"e_1_3_2_2_68_1","volume-title":"Distral: Robust multitask reinforcement learning. Advances in neural information processing systems 30","author":"Teh Yee","year":"2017","unstructured":"Yee Teh, Victor Bapst, Wojciech\u00a0M Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, and Razvan Pascanu. 2017. Distral: Robust multitask reinforcement learning. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0021-9290(02)00432-3"},{"key":"e_1_3_2_2_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202133"},{"key":"e_1_3_2_2_71_1","volume-title":"Generative adversarial imitation from observation. arXiv preprint arXiv:1807.06158","author":"Torabi Faraz","year":"2018","unstructured":"Faraz Torabi, Garrett Warnell, and Peter Stone. 2018. Generative adversarial imitation from observation. arXiv preprint arXiv:1807.06158 (2018)."},{"key":"e_1_3_2_2_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/1073368.1073414"},{"key":"e_1_3_2_2_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601192"},{"key":"e_1_3_2_2_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185521"},{"key":"e_1_3_2_2_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392381"},{"key":"e_1_3_2_2_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459761"},{"key":"e_1_3_2_2_77_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530067"},{"key":"e_1_3_2_2_78_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2008.07.013"},{"key":"e_1_3_2_2_79_1","doi-asserted-by":"publisher","DOI":"10.1145\/3480148"},{"key":"e_1_3_2_2_80_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550454.3555434"},{"key":"e_1_3_2_2_81_1","doi-asserted-by":"publisher","DOI":"10.1145\/1833349.1778811"},{"volume-title":"Computer Graphics Forum, Vol.\u00a029","author":"Ye Yuting","key":"e_1_3_2_2_82_1","unstructured":"Yuting Ye and C\u00a0Karen Liu. 2010b. Synthesis of responsive motion using a dynamic model. In Computer Graphics Forum, Vol.\u00a029. Wiley Online Library, 555\u2013562."},{"key":"e_1_3_2_2_83_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276509"},{"key":"e_1_3_2_2_84_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459817"},{"key":"e_1_3_2_2_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201397"},{"key":"e_1_3_2_2_86_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00708"},{"key":"e_1_3_2_2_87_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591491"}],"event":{"name":"SA '23: SIGGRAPH Asia 2023","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Sydney NSW Australia","acronym":"SA '23"},"container-title":["SIGGRAPH Asia 2023 Conference Papers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3610548.3618176","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T12:05:12Z","timestamp":1733832312000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610548.3618176"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,10]]},"references-count":87,"alternative-id":["10.1145\/3610548.3618176","10.1145\/3610548"],"URL":"https:\/\/doi.org\/10.1145\/3610548.3618176","relation":{},"subject":[],"published":{"date-parts":[[2023,12,10]]},"assertion":[{"value":"2023-12-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}