{"id":"https://openalex.org/W4396987717","doi":"https://doi.org/10.1145/3641519.3657408","title":"ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations","display_name":"ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4396987717","doi":"https://doi.org/10.1145/3641519.3657408"},"language":"en","primary_location":{"id":"doi:10.1145/3641519.3657408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641519.3657408","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3641519.3657408","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060978374","display_name":"Artur Grigorev","orcid":"https://orcid.org/0000-0002-6999-2162"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Artur Grigorev","raw_affiliation_strings":["ETH Zurich, Germany and Max Planck Institue for Intelligent Systems, Germany"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Germany and Max Planck Institue for Intelligent Systems, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093452524","display_name":"Giorgio Becherini","orcid":"https://orcid.org/0009-0005-8770-8144"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giorgio Becherini","raw_affiliation_strings":["Max Planck Institue for Intelligent Systems, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institue for Intelligent Systems, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065396778","display_name":"Michael J. Black","orcid":"https://orcid.org/0000-0001-6077-4540"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Black","raw_affiliation_strings":["Max Planck Institue for Intelligent Systems, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institue for Intelligent Systems, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025000908","display_name":"Otmar Hilliges","orcid":"https://orcid.org/0000-0002-5068-3474"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Otmar Hilliges","raw_affiliation_strings":["ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069328126","display_name":"Bernhard Thomaszewski","orcid":"https://orcid.org/0000-0001-8086-7664"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Bernhard Thomaszewski","raw_affiliation_strings":["ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060978374"],"corresponding_institution_ids":["https://openalex.org/I4210135521"],"apc_list":null,"apc_paid":null,"fwci":4.4714,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95504259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.698636531829834},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5144441723823547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46174412965774536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3397989571094513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698636531829834},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5144441723823547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46174412965774536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3397989571094513}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3641519.3657408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641519.3657408","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2405.09522","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.09522","pdf_url":"https://arxiv.org/pdf/2405.09522","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/686819","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/686819","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIGGRAPH '24: ACM SIGGRAPH 2024 Conference Papers","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.3929/ethz-b-000686819","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000686819","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3641519.3657408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641519.3657408","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1492220269","https://openalex.org/W1978216348","https://openalex.org/W1993253032","https://openalex.org/W2032113491","https://openalex.org/W2049773156","https://openalex.org/W2054958183","https://openalex.org/W2134158653","https://openalex.org/W2884139490","https://openalex.org/W2902214888","https://openalex.org/W2946598593","https://openalex.org/W2963892986","https://openalex.org/W2971856312","https://openalex.org/W2978956737","https://openalex.org/W3048889784","https://openalex.org/W3106765708","https://openalex.org/W3107178544","https://openalex.org/W3137300270","https://openalex.org/W3178714617","https://openalex.org/W3184248595","https://openalex.org/W3185830677","https://openalex.org/W3186139152","https://openalex.org/W4206840271","https://openalex.org/W4229525926","https://openalex.org/W4249870761","https://openalex.org/W4252493648","https://openalex.org/W4311802566","https://openalex.org/W4312833425","https://openalex.org/W4385535337","https://openalex.org/W4386075709","https://openalex.org/W6679062135"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Learning-based":[0],"approaches":[1,45],"to":[2,7],"cloth":[3,41,102],"simulation":[4,103,140],"have":[5],"started":[6],"show":[8],"their":[9],"potential":[10],"in":[11,19,39,65],"recent":[12],"years.":[13],"However,":[14],"handling":[15,37,137],"collisions":[16],"and":[17,84,141],"intersections":[18,38,56],"neural":[20,40,101,108],"simulations":[21],"remains":[22],"a":[23,33,76,95,100,117],"largely":[24],"unsolved":[25],"problem.":[26],"In":[27],"this":[28],"work,":[29],"we":[30],"present":[31],"ContourCraft,":[32],"learning-based":[34],"solution":[35],"for":[36,138],"simulations.":[42],"Unlike":[43],"conventional":[44],"that":[46,81,132],"critically":[47],"rely":[48],"on":[49,106],"intersection-free":[50],"inputs,":[51],"ContourCraft":[52,74,133],"robustly":[53],"recovers":[54],"from":[55],"introduced":[57],"through":[58],"missed":[59],"collisions,":[60],"self-penetrating":[61],"bodies,":[62],"or":[63],"errors":[64],"manually":[66],"designed":[67],"multi-layer":[68,122],"outfits.":[69],"The":[70],"technical":[71],"core":[72],"of":[73,120],"is":[75],"novel":[77],"intersection":[78,92],"contour":[79],"loss":[80,93],"penalizes":[82],"interpenetrations":[83],"encourages":[85],"rapid":[86],"resolution":[87],"thereof.":[88],"We":[89,111],"integrate":[90],"our":[91,113],"with":[94],"collision-avoiding":[96],"repulsion":[97],"objective":[98],"into":[99],"method":[104],"based":[105],"graph":[107],"networks":[109],"(GNNs).":[110],"demonstrate":[112],"method\u2019s":[114],"ability":[115],"across":[116],"challenging":[118],"set":[119],"diverse":[121],"outfits":[123],"under":[124],"dynamic":[125],"human":[126],"motions.":[127],"Our":[128],"extensive":[129],"analysis":[130],"indicates":[131],"significantly":[134],"improves":[135],"collision":[136],"learned":[139],"produces":[142],"visually":[143],"compelling":[144],"results.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2024-05-17T00:00:00"}