{"id":"https://openalex.org/W4415536590","doi":"https://doi.org/10.1145/3746027.3755082","title":"CP3: Customizable 3D Pop-Out Effect Creation for Immersive Content Using Multimodal Models","display_name":"CP3: Customizable 3D Pop-Out Effect Creation for Immersive Content Using Multimodal Models","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415536590","doi":"https://doi.org/10.1145/3746027.3755082"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755082","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075231368","display_name":"Zezhou Chen","orcid":"https://orcid.org/0009-0000-6796-6043"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zezhou Chen","raw_affiliation_strings":["Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-6796-6043","affiliations":[{"raw_affiliation_string":"Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002750165","display_name":"Ping Chen","orcid":"https://orcid.org/0009-0003-2430-6944"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Chen","raw_affiliation_strings":["Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-2430-6944","affiliations":[{"raw_affiliation_string":"Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873904","display_name":"Huan Hu","orcid":"https://orcid.org/0009-0009-6697-3220"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Hu","raw_affiliation_strings":["Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-6697-3220","affiliations":[{"raw_affiliation_string":"Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101151394","display_name":"Xiang Liu","orcid":"https://orcid.org/0009-0003-2492-403X"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Liu","raw_affiliation_strings":["Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-2492-403X","affiliations":[{"raw_affiliation_string":"Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zipeng Wang","orcid":"https://orcid.org/0009-0006-9720-7156"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zipeng Wang","raw_affiliation_strings":["Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-9720-7156","affiliations":[{"raw_affiliation_string":"Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101742159","display_name":"Zhaoxiang Liu","orcid":"https://orcid.org/0000-0002-1267-0277"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxiang Liu","raw_affiliation_strings":["Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Beijing Key Laboratory of Science Fiction Audio and Video Intelligent Processing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1267-0277","affiliations":[{"raw_affiliation_string":"Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Beijing Key Laboratory of Science Fiction Audio and Video Intelligent Processing, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436982","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0002-1171-0281"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1171-0281","affiliations":[{"raw_affiliation_string":"Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066958531","display_name":"Shiguo Lian","orcid":"https://orcid.org/0000-0003-4308-7049"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguo Lian","raw_affiliation_strings":["Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4308-7049","affiliations":[{"raw_affiliation_string":"Data Science &amp; Artificial Intelligence Research Institute, China Unicom, Beijing, China and Unicom Data Intelligence, China Unicom, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5075231368"],"corresponding_institution_ids":["https://openalex.org/I6507939"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37345668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9724","last_page":"9732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9979000091552734,"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":0.9979000091552734,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9894999861717224,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9887999892234802,"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/segmentation","display_name":"Segmentation","score":0.5450999736785889},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.5152999758720398},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4715000092983246},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.44940000772476196},{"id":"https://openalex.org/keywords/3d-modeling","display_name":"3D modeling","score":0.44369998574256897},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4390999972820282},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4142000079154968},{"id":"https://openalex.org/keywords/2d-to-3d-conversion","display_name":"2D to 3D conversion","score":0.4041000008583069}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735000252723694},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5450999736785889},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.5152999758720398},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48100000619888306},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45899999141693115},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.44940000772476196},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4239000082015991},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C84824328","wikidata":"https://www.wikidata.org/wiki/Q4633097","display_name":"2D to 3D conversion","level":3,"score":0.4041000008583069},{"id":"https://openalex.org/C199068039","wikidata":"https://www.wikidata.org/wiki/Q574523","display_name":"Immersion (mathematics)","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C2776977519","wikidata":"https://www.wikidata.org/wiki/Q4636326","display_name":"3D interaction","level":3,"score":0.3337000012397766},{"id":"https://openalex.org/C2776509796","wikidata":"https://www.wikidata.org/wiki/Q5276056","display_name":"Content creation","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C170477896","wikidata":"https://www.wikidata.org/wiki/Q17039022","display_name":"Ideation","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C1223959","wikidata":"https://www.wikidata.org/wiki/Q1191960","display_name":"Stereo display","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755082","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W4312933868","https://openalex.org/W4385481295","https://openalex.org/W4386065887","https://openalex.org/W4386071957","https://openalex.org/W4390873054","https://openalex.org/W4390873135","https://openalex.org/W4393148505"],"related_works":[],"abstract_inverted_index":{"In":[0,81],"this":[1,63,107,147,201],"paper,":[2],"a":[3,45,149],"multi-modal":[4,110],"model":[5,181],"based":[6,182],"3D":[7,29,32,74,87,114,118,136,179,211,231],"pop-out":[8,30,33,75,88,119,156,175,212,232],"video":[9,22,115],"generation":[10,23,138,209],"framework":[11,104,197,224],"(CP3)":[12],"is":[13,66,92,158],"proposed":[14,105],"to":[15,71,112,236],"solve":[16],"the":[17,20,42,53,83,96,99,102,122,133,142,171,174,178,184,191,195,208,218,222],"shortcomings":[18],"of":[19,28,44,85,95,125,135,146,155,173,210,217],"existing":[21,237],"technology":[24],"for":[25],"accurate":[26],"control":[27,73],"effects.":[31],"effects":[34,76,157,233],"create":[35],"an":[36],"immersive":[37,230],"visual":[38,128],"experience":[39],"by":[40],"changing":[41],"disparity":[43],"particular":[46],"object":[47],"so":[48],"that":[49,221],"it":[50],"appears":[51],"beyond":[52],"screen.":[54],"However,":[55],"although":[56],"software":[57],"has":[58,203],"made":[59],"some":[60],"progress":[61],"in":[62,98,106,194,207,228,234],"area,":[64],"there":[65],"currently":[67],"no":[68],"effective":[69],"way":[70],"accurately":[72],"and":[77,127,130,144,170,198],"generate":[78],"high-quality":[79,86],"video.":[80],"addition,":[82],"lack":[84],"effect":[89,137,213],"data":[90],"sets":[91],"also":[93],"one":[94],"bottlenecks":[97],"field.":[100],"Therefore,":[101],"CP3":[103,196,223],"paper":[108,202],"utilizes":[109],"models":[111],"help":[113],"creators":[116],"make":[117],"effects,":[120],"enhance":[121],"audience's":[123],"sense":[124],"immersion":[126],"comfort,":[129],"thus":[131],"promote":[132],"development":[134],"technology.":[139],"To":[140],"support":[141],"training":[143],"evaluation":[145],"framework,":[148],"new":[150],"dataset":[151],"containing":[152],"37000":[153],"frames":[154],"constructed,":[159],"such":[160],"as":[161],"text":[162],"guidance,":[163],"segmentation":[164],"results,":[165],"depth":[166],"maps,":[167],"optical":[168],"flow,":[169],"trajectory":[172],"target.":[176],"Through":[177],"UNet":[180],"on":[183],"potential":[185],"de-noising":[186],"diffusion":[187],"mechanism,":[188],"combined":[189],"with":[190],"3D-try":[192],"module":[193],"Mask":[199],"Encoder,":[200],"achieved":[204],"remarkable":[205],"results":[206,216],"videos.":[214],"The":[215],"experiment":[219],"show":[220],"demonstrates":[225],"its":[226],"advantages":[227],"generating":[229],"comparison":[235],"technologies.":[238]},"counts_by_year":[],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-25T00:00:00"}
