{"corpus_id":102351100,"paper_sha":"690c817ab5be8017ff713fa1028669debde205af","doi":"10.1109/ICCV.2019.00554","arxiv_id":"1904.03278","pmid":null,"pmcid":null,"mag_id":2971856312,"dblp_id":"conf/iccv/MahmoodGTPB19","acl_id":null,"title":"AMASS: Archive of Motion Capture As Surface Shapes","year":2019,"publication_date":"2019-04-05","venue":"IEEE International Conference on Computer Vision","journal":{"name":"2019 IEEE/CVF International Conference on Computer Vision (ICCV)","pages":"5441-5450","volume":null},"journal_issn":null,"journal_title":null,"publication_types":["JournalArticle","Conference"],"pubmed_pub_types":null,"s2_fields_of_study":["Computer Science"],"reference_count":47,"citation_count":1670,"influential_citation_count":224,"is_open_access":true,"arxiv_categories":["cs.CV","cs.GR"],"arxiv_license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","arxiv_journal_ref":null,"mesh_headings":null,"chemicals":null,"comments_corrections":null,"source_flags":1,"s2_open_access_pdf_url":"https://arxiv.org/pdf/1904.03278","s2_open_access_landing_url":"https://www.semanticscholar.org/paper/690c817ab5be8017ff713fa1028669debde205af","s2_open_access_license":null,"s2_open_access_status":"GREEN","pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions limited, hampering progress on learning models of human motion. While there are many different datasets available, they each use a different parameterization of the body, making it difficult to integrate them into a single meta dataset. To address this, we introduce AMASS, a large and varied database of human motion that unifies 15 different optical marker-based mocap datasets by representing them within a common framework and parameterization. We achieve this using a new method, MoSh++, that converts mocap data into realistic 3D human meshes represented by a rigged body model. Here we use SMPL [Loper et al., 2015], which is widely used and provides a standard skeletal representation as well as a fully rigged surface mesh. The method works for arbitrary marker sets, while recovering soft-tissue dynamics and realistic hand motion. We evaluate MoSh++ and tune its hyperparameters using a new dataset of 4D body scans that are jointly recorded with markerbased mocap. The consistent representation of AMASS makes it readily useful for animation, visualization, and generating training data for deep learning. Our dataset is significantly richer than previous human motion collections, having more than 40 hours of motion data, spanning over 300 subjects, more than 11000 motions, and will be publicly available to the research community.","claims":[{"public_id":"cl_918b20b8dd363ded122b7bdeb02141e3","status":"active","text":"AMASS contains more than 40 hours of motion data, spanning over 300 subjects and more than 11000 motions.","confidence":0.95,"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_918b20b8dd363ded122b7bdeb02141e3"},{"public_id":"cl_d2606d030063dd81e77301100042fa7d","status":"active","text":"AMASS unifies 15 different optical marker-based mocap datasets into a single meta dataset using a common framework and parameterization.","confidence":0.95,"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_d2606d030063dd81e77301100042fa7d"},{"public_id":"cl_183a4c1a6ccccb9e89612008b1ed08e2","status":"active","text":"MoSh++ converts mocap data into realistic 3D human meshes represented by a rigged body model, using SMPL as the standard skeletal representation and fully rigged surface mesh.","confidence":0.95,"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_183a4c1a6ccccb9e89612008b1ed08e2"},{"public_id":"cl_0ae64b0c0a09656e4cc310603a06ef3c","status":"active","text":"MoSh++ is evaluated and its hyperparameters tuned using a new dataset of 4D body scans jointly recorded with marker-based mocap.","confidence":0.9,"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_0ae64b0c0a09656e4cc310603a06ef3c"}],"concepts":[{"public_id":"co_31933b8a87ae70574e4e222277776d4d","status":"active","name":"SMPL","description":"A widely used rigged body model that provides a standard skeletal representation and a fully rigged surface mesh, used by MoSh++ to represent human motion.","types":["model"],"aliases":[],"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_31933b8a87ae70574e4e222277776d4d"},{"public_id":"co_5607ddc798f533896f9cce81cc9c792d","status":"active","name":"AMASS","description":"A large and varied database of human motion that unifies 15 optical marker-based mocap datasets using a common framework and parameterization.","types":["dataset"],"aliases":["Archive of Motion Capture As Surface Shapes"],"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_5607ddc798f533896f9cce81cc9c792d"},{"public_id":"co_9928583860d315d68b684f36d28f6e47","status":"active","name":"MoSh++","description":"A new method that converts mocap data into realistic 3D human meshes represented by a rigged body model, working for arbitrary marker sets while recovering soft-tissue dynamics and realistic hand motion.","types":["method"],"aliases":[],"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_9928583860d315d68b684f36d28f6e47"},{"public_id":"co_d4b5868055b7299443858121b2c849e6","status":"active","name":"optical marker-based mocap datasets","description":"Motion capture datasets that use optical markers to record human motion, 15 of which are unified in AMASS.","types":["dataset"],"aliases":[],"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_d4b5868055b7299443858121b2c849e6"},{"public_id":"co_f646f1dfd0785100f8832d9cabdec805","status":"active","name":"4D body scans","description":"A new dataset of 4D body scans jointly recorded with marker-based mocap, used to evaluate MoSh++ and tune its hyperparameters.","types":["dataset"],"aliases":[],"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["review"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_f646f1dfd0785100f8832d9cabdec805"}],"external_ids":{"DOI":"10.1109/ICCV.2019.00554","ArXiv":"1904.03278","PubMed":null,"PubMedCentral":null,"MAG":2971856312,"DBLP":"conf/iccv/MahmoodGTPB19","ACL":null},"open_access":{"is_open_access":true,"pdf_url":"https://arxiv.org/pdf/1904.03278","landing_url":"https://www.semanticscholar.org/paper/690c817ab5be8017ff713fa1028669debde205af","source":"semantic_scholar","pdf_url_source":"semantic_scholar_open_access_pdf","license":null,"status":"GREEN","reason":null},"reference_availability":{"status":"available","references_indexed":true,"full_text_available":true,"full_text_source":"arxiv","count_basis":"semantic_scholar_metadata","extraction_status":"not_applicable","reason":null},"source":{"provider":"episteme2","base_corpus":"semantic_scholar_dump","freshness_mode":"unknown","basis":["semantic_scholar_metadata","postgres_metadata"],"limits":["paper metadata is based on indexed upstream scholarly datasets","claims and concepts are available only for extracted papers","absence of claims or concepts means no extracted graph data is available in this response"],"status":"available","degraded":false,"degraded_reasons":[],"diagnostics":{"status":"available","degraded":false,"degraded_reasons":[],"metadata_status":"available","graph_status":"available","abstract_status":"available"},"source_flags":1},"paper_id":636763,"paper_uid":"6be47cfa-a21f-42a9-be3f-f6c151c59649","canonical_identity":{"paper_id":636763,"paper_uid":"6be47cfa-a21f-42a9-be3f-f6c151c59649","identity_status":"available","lookup_basis":"semantic_scholar_external_id","compatibility_path":"corpus_id"},"url":"https://sah.borca.ai/papers/102351100"}