{"id":"https://openalex.org/W7164363335","doi":"https://doi.org/10.48550/arxiv.2606.12153","title":"TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation","display_name":"TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164363335","doi":"https://doi.org/10.48550/arxiv.2606.12153"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.12153","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12153","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.12153","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030025925","display_name":"C.C. Pu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pu, Cheng-Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138443461","display_name":"Jia-Peng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jia-Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101135616","display_name":"Meng-Hao Guo","orcid":"https://orcid.org/0000-0002-4128-4594"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Meng-Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138474770","display_name":"Yan-Pei Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Yan-Pei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138437485","display_name":"Shi-Min Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Shi-Min","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.6567999720573425,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T12290","display_name":"Human Motion and Animation","score":0.6567999720573425,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.12200000137090683,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.10939999669790268,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/retargeting","display_name":"Retargeting","score":0.7350999712944031},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.565500020980835},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5644000172615051},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.489300012588501},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.46209999918937683},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.44209998846054077},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4401000142097473},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4381999969482422},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4293000102043152}],"concepts":[{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.7350999712944031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725999712944031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.630299985408783},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.565500020980835},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5644000172615051},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4790000021457672},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.44209998846054077},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4401000142097473},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4381999969482422},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.42829999327659607},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41909998655319214},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.3815999925136566},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.3522999882698059},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.265500009059906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.12153","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12153","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.12153","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12153","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"explosion":[1],"of":[2,39,81,128,185,191,214],"generative":[3,95],"3D":[4,215],"assets":[5],"has":[6],"created":[7],"a":[8,84,93,100,105,114,125,144,164],"massive":[9],"demand":[10],"for":[11,210],"animation,":[12],"yet":[13],"current":[14],"motion":[15,41,82,134],"capture":[16],"methods":[17],"remain":[18],"brittle,":[19],"restricted":[20],"to":[21,58],"species-specific":[22],"templates":[23],"(e.g.,":[24],"SMPL)":[25],"or":[26],"requiring":[27],"labor-intensive":[28],"manual":[29],"rigging.":[30],"We":[31,88],"introduce":[32,162],"TopoCap,":[33],"the":[34,78,122,129,182,211],"first":[35],"unified":[36],"framework":[37],"capable":[38],"extracting":[40],"from":[42,56,136,153,168],"monocular":[43],"video":[44],"and":[45,60,76,176,203],"retargeting":[46,209],"it":[47,180],"onto":[48],"characters":[49],"with":[50],"arbitrary,":[51],"unseen":[52],"skeletal":[53,72,137,174],"topologies,":[54],"i.e.,":[55],"bipeds":[57],"hexapods":[59],"inanimate":[61],"objects,":[62],"without":[63],"test-time":[64],"optimization.":[65],"Our":[66],"key":[67],"insight":[68,91],"is":[69,218],"that":[70,108,196],"while":[71,206],"structures":[73],"are":[74],"combinatorial":[75],"discrete,":[77],"underlying":[79],"physics":[80],"occupy":[83],"continuous,":[85],"low-dimensional":[86],"manifold.":[87],"materialize":[89],"this":[90,158],"via":[92],"two-stage":[94],"pipeline.":[96],"First,":[97],"we":[98,132,140,161],"learn":[99,157],"Universal":[101],"Motion":[102],"Manifold":[103],"using":[104],"Graph":[106],"CVAE":[107],"compresses":[109],"heterogeneous":[110],"kinematic":[111],"chains":[112],"into":[113],"shared,":[115],"fixed-length":[116],"latent":[117],"code.":[118],"By":[119],"explicitly":[120],"conditioning":[121],"decoder":[123],"on":[124,201],"structural":[126,183],"embedding":[127],"target":[130],"rig,":[131],"disentangle":[133],"dynamics":[135],"topology.":[138],"Second,":[139],"treat":[141],"video-to-animation":[142],"as":[143],"conditional":[145],"flow":[146],"matching":[147],"problem,":[148],"predicting":[149],"these":[150],"topology-agnostic":[151],"codes":[152],"visual":[154],"features.":[155],"To":[156],"generalized":[159],"prior,":[160],"Mobjaverse,":[163],"massive-scale":[165],"dataset":[166],"curated":[167],"Objaverse-XL.":[169],"Comprising":[170],"over":[171],"5,000":[172],"unique":[173],"topologies":[175],"2":[177],"million":[178],"frames,":[179],"exceeds":[181],"diversity":[184],"existing":[186],"datasets":[187],"by":[188],"two":[189],"orders":[190],"magnitude.":[192],"Extensive":[193],"experiments":[194],"demonstrate":[195],"\\MethodMotion":[197],"outperforms":[198],"specialist":[199],"models":[200],"human":[202],"quadruped":[204],"benchmarks":[205],"enabling":[207],"zero-shot":[208],"long":[212],"tail":[213],"creatures.":[216],"Dataset":[217],"publicly":[219],"available":[220],"at":[221],"https://huggingface.co/datasets/duckduckplz/Mobjaverse.":[222]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-12T00:00:00"}