{"id":"https://openalex.org/W7147371097","doi":"https://doi.org/10.48550/arxiv.2603.29655","title":"Not All Frames Are Equal: Complexity-Aware Masked Motion Generation via Motion Spectral Descriptors","display_name":"Not All Frames Are Equal: Complexity-Aware Masked Motion Generation via Motion Spectral Descriptors","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147371097","doi":"https://doi.org/10.48550/arxiv.2603.29655"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.29655","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29655","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.2603.29655","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132630478","display_name":"Pengfei Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Pengfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132558512","display_name":"Xiangyue Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xiangyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064912514","display_name":"Xukun Shen","orcid":"https://orcid.org/0000-0001-8509-9393"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Xukun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132637768","display_name":"Yong Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yong","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":0.6618000268936157,"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":0.6618000268936157,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.12229999899864197,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0706000030040741,"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/motion","display_name":"Motion (physics)","score":0.7551000118255615},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5085999965667725},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45179998874664307},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.4478999972343445},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.43630000948905945},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43220001459121704},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4226999878883362},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4171999990940094}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7551000118255615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6205999851226807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6154999732971191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5482000112533569},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5085999965667725},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.4478999972343445},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.43630000948905945},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43220001459121704},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4226999878883362},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41130000352859497},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41100001335144043},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.37059998512268066},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34860000014305115},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.30379998683929443},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C100673868","wikidata":"https://www.wikidata.org/wiki/Q6917799","display_name":"Motion system","level":3,"score":0.26190000772476196}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.29655","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29655","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.2603.29655","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29655","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Masked":[0],"generative":[1],"models":[2],"have":[3],"become":[4],"a":[5,26,74,125,178],"strong":[6],"paradigm":[7],"for":[8,29,129,182],"text-to-motion":[9],"synthesis,":[10],"but":[11],"they":[12],"still":[13],"treat":[14],"motion":[15,44,61,89,104,113,145,151,175,184],"frames":[16],"too":[17],"uniformly":[18],"during":[19,122,137],"masking,":[20],"attention,":[21],"and":[22,52,76,99,131,167],"decoding.":[23,139],"This":[24],"is":[25,57,96,177],"poor":[27],"match":[28],"motion,":[30],"where":[31],"local":[32,80,174],"dynamic":[33,81],"complexity":[34,82,176],"varies":[35],"sharply":[36],"over":[37],"time.":[38],"We":[39,107],"show":[40],"that":[41,53,172],"current":[42],"masked":[43,112,144,183],"generators":[45],"degrade":[46],"disproportionately":[47],"on":[48,141,155,165],"dynamically":[49,156],"complex":[50,157],"motions,":[51],"frame-wise":[54],"generation":[55,114,152],"error":[56],"strongly":[58],"correlated":[59],"with":[60],"dynamics.":[62],"Motivated":[63],"by":[64],"this":[65],"mismatch,":[66],"we":[67],"introduce":[68],"the":[69,85,103],"Motion":[70],"Spectral":[71],"Descriptor":[72],"(MSD),":[73],"simple":[75],"parameter-free":[77],"measure":[78],"of":[79,88,143],"computed":[83],"from":[84,102],"short-time":[86],"spectrum":[87],"velocity.":[90],"Unlike":[91],"learned":[92],"difficulty":[93],"predictors,":[94],"MSD":[95,109,118],"deterministic,":[97],"interpretable,":[98],"derived":[100],"directly":[101],"signal":[105],"itself.":[106],"use":[108],"to":[110],"make":[111],"complexity-aware.":[115],"In":[116],"particular,":[117],"guides":[119],"content-focused":[120],"masking":[121],"training,":[123],"provides":[124],"spectral":[126],"similarity":[127],"prior":[128],"self-attention,":[130],"can":[132],"additionally":[133],"modulate":[134],"token-level":[135],"sampling":[136],"iterative":[138],"Built":[140],"top":[142],"generators,":[146],"our":[147],"method,":[148],"DynMask,":[149],"improves":[150],"most":[153],"clearly":[154],"motions":[158],"while":[159],"also":[160],"yielding":[161],"stronger":[162],"overall":[163],"FID":[164],"HumanML3D":[166],"KIT-ML.":[168],"These":[169],"results":[170],"suggest":[171],"respecting":[173],"useful":[179],"design":[180],"principle":[181],"generation.":[185],"Project":[186],"page:":[187],"https://xiangyue-zhang.github.io/DynMask":[188]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-02T00:00:00"}
