{"id":"https://openalex.org/W4417142537","doi":"https://doi.org/10.1109/wacv61042.2026.00616","title":"TED-4DGS: Temporally Activated and Embedding-based Deformation for 4DGS Compression","display_name":"TED-4DGS: Temporally Activated and Embedding-based Deformation for 4DGS Compression","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W4417142537","doi":"https://doi.org/10.1109/wacv61042.2026.00616"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.05446","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104103005","display_name":"Cheng\u2010Yuan Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yuan Ho","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":null,"display_name":"He-Bi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"He-Bi Yang","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018255070","display_name":"Jui\u2010Chiu Chiang","orcid":"https://orcid.org/0000-0003-1397-8393"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jui-Chiu Chiang","raw_affiliation_strings":["National Chung Cheng University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Cheng University,Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101674910","display_name":"Yu-Lun Liu","orcid":"https://orcid.org/0009-0006-3477-6589"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Lun Liu","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071531458","display_name":"Wen-Hsiao Peng","orcid":"https://orcid.org/0000-0002-4421-8031"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsiao Peng","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01701094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6371","last_page":"6380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.5605999827384949,"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":0.5605999827384949,"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":0.08749999850988388,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.07699999958276749,"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/compression","display_name":"Compression (physics)","score":0.6779000163078308},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.6561999917030334},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6155999898910522},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.564300000667572},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5537999868392944},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4814999997615814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691100001335144},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6779000163078308},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.6561999917030334},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6155999898910522},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.564300000667572},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5537999868392944},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4814999997615814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4226999878883362},{"id":"https://openalex.org/C150178126","wikidata":"https://www.wikidata.org/wiki/Q18433212","display_name":"Dynamic range compression","level":2,"score":0.41929998993873596},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.39559999108314514},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3336000144481659},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2597000002861023}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv61042.2026.00616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2512.05446","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.05446","pdf_url":"https://arxiv.org/pdf/2512.05446","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2512.05446","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.05446","pdf_url":null,"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.05446","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.05446","pdf_url":"https://arxiv.org/pdf/2512.05446","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322410","display_name":"MediaTek","ror":"https://ror.org/05g9jck81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Building":[0],"on":[1,54,63,101,177],"the":[2,93,173,184,194],"success":[3],"of":[4,95,186,193],"3D":[5,11],"Gaussian":[6,60],"Splatting":[7],"(3DGS)":[8],"in":[9],"static":[10],"scene":[12],"representation,":[13],"its":[14,118],"extension":[15],"to":[16,20,116,136,151,162,197],"dynamic":[17,24,43,204],"scenes-commonly":[18],"referred":[19],"as":[21],"4DGS":[22,56,89],"or":[23,62],"3DGS-":[25],"has":[26],"attracted":[27],"increasing":[28],"attention.":[29],"However,":[30],"designing":[31],"more":[32],"compact,":[33],"efficient":[34],"deformation":[35,67,84,134],"schemes":[36],"together":[37],"with":[38,57,66,112,157],"rate-distortion-optimized":[39,200],"compression":[40,90,201],"strategies":[41],"for":[42,86,203],"3DGS":[44,65,105,205],"representations":[45],"remains":[46],"an":[47,145],"underexplored":[48],"area.":[49],"Prior":[50],"methods":[51],"either":[52],"rely":[53],"space-time":[55],"overspecified,":[58],"short-lived":[59],"primitives":[61],"canonical":[64,108],"that":[68,91],"lacks":[69],"explicit":[70],"temporal":[71,129],"control.":[72],"To":[73,183],"address":[74],"this,":[75],"we":[76,143],"present":[77],"TED-4DGS,":[78],"a":[79,102,126,132,158,199],"temporally":[80],"activated":[81],"and":[82,120],"embedding-based":[83],"scheme":[85,171],"rate-distortion-":[87],"optimized":[88],"unifies":[92],"strengths":[94],"both":[96],"families.":[97],"TED-4DGS":[98],"is":[99,110],"built":[100],"sparse":[103],"anchor-based":[104],"representation.":[106],"Each":[107],"anchor":[109,153],"assigned":[111],"learnable":[113],"temporal-activation":[114],"parameters":[115],"specify":[117],"appearance":[119],"disappearance":[121],"transitions":[122],"over":[123],"time,":[124],"while":[125],"lightweight":[127],"per-anchor":[128],"embedding":[130],"queries":[131],"shared":[133],"bank":[135],"produce":[137],"anchor-specific":[138],"deformation.":[139],"For":[140],"rate-distortion":[141,175],"compression,":[142],"incorporate":[144],"implicit":[146],"neural":[147],"representation":[148],"(INR)-based":[149],"hyperprior":[150],"model":[152,161],"attribute":[154],"distributions,":[155],"along":[156],"channelwise":[159],"autoregressive":[160],"capture":[163],"intra-anchor":[164],"correlations.":[165],"With":[166],"these":[167],"novel":[168],"elements,":[169],"our":[170,187],"achieves":[172],"state-of-the-art":[174],"performance":[176],"several":[178],"commonly":[179],"used":[180],"real-world":[181],"datasets.":[182],"best":[185],"knowledge,":[188],"this":[189],"work":[190],"represents":[191],"one":[192],"first":[195],"attempts":[196],"pursue":[198],"framework":[202],"representations.":[206]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-09T00:00:00"}
