{"id":"https://openalex.org/W4387038053","doi":"https://doi.org/10.1145/3609395.3610594","title":"Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations","display_name":"Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations","publication_year":2023,"publication_date":"2023-09-10","ids":{"openalex":"https://openalex.org/W4387038053","doi":"https://doi.org/10.1145/3609395.3610594"},"language":"en","primary_location":{"id":"doi:10.1145/3609395.3610594","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3609395.3610594","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3609395.3610594","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Emerging Multimedia Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3609395.3610594","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101979632","display_name":"Xuechen Zhang","orcid":"https://orcid.org/0000-0002-0907-0027"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuechen Zhang","raw_affiliation_strings":["University of California, Riverside, Riverside, USA"],"raw_orcid":"https://orcid.org/0000-0002-0907-0027","affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767144","display_name":"Zheng Li","orcid":"https://orcid.org/0009-0007-9668-4564"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["University of Michigan, Ann Arbor, United States of America"],"raw_orcid":"https://orcid.org/0009-0007-9668-4564","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, United States of America","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050547472","display_name":"Samet Oymak","orcid":"https://orcid.org/0000-0001-5203-0752"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samet Oymak","raw_affiliation_strings":["University of Michigan, Ann Arbor, USA"],"raw_orcid":"https://orcid.org/0000-0001-5203-0752","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061832197","display_name":"Jiasi Chen","orcid":"https://orcid.org/0000-0001-9923-9027"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiasi Chen","raw_affiliation_strings":["University of Michigan, Ann Arbor, USA"],"raw_orcid":"https://orcid.org/0000-0001-9923-9027","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922999739646912,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922999739646912,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9902999997138977,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9896000027656555,"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/computer-science","display_name":"Computer science","score":0.8807957172393799},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7154051661491394},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.57777339220047},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5411722660064697},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5356741547584534},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5136770606040955},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4943552017211914},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.46841827034950256},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4500296115875244},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.44070902466773987},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4322557747364044},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.40909701585769653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3534027338027954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.320925235748291},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2413538694381714},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.13106313347816467},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10434585809707642},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09476092457771301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8807957172393799},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7154051661491394},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.57777339220047},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5411722660064697},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5356741547584534},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5136770606040955},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4943552017211914},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.46841827034950256},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4500296115875244},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.44070902466773987},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4322557747364044},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.40909701585769653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3534027338027954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.320925235748291},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2413538694381714},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.13106313347816467},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10434585809707642},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09476092457771301},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3609395.3610594","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3609395.3610594","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3609395.3610594","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Emerging Multimedia Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3609395.3610594","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3609395.3610594","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3609395.3610594","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Emerging Multimedia Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G3692568356","display_name":"Collaborative Research: SHF: Medium: Approximate Computing for Machine Learning Security: Foundations and Accelerator Design","funder_award_id":"2212426","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7919432346","display_name":"CAREER: Networked Multi-User Augmented Reality for Mobile Devices","funder_award_id":"1942700","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387038053.pdf","grobid_xml":"https://content.openalex.org/works/W4387038053.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2792220137","https://openalex.org/W2968289224","https://openalex.org/W3021314748","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4244340458","https://openalex.org/W4287255551","https://openalex.org/W4294959213","https://openalex.org/W4312708649","https://openalex.org/W4312929415","https://openalex.org/W4386065704","https://openalex.org/W4386071610"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Emerging":[0],"generative":[1,47,129],"models":[2,13,48],"can":[3],"create":[4],"3D":[5,143],"objects":[6],"from":[7],"text":[8],"prompts.":[9],"However,":[10],"deploying":[11],"these":[12,76],"on":[14,125],"mobile":[15,98],"devices":[16],"is":[17,95,123],"challenging":[18],"due":[19],"to":[20,74],"resource":[21],"constraints":[22],"and":[23,51,62,71,118,145,148],"user":[24],"demand":[25],"for":[26,97,109,128,151],"real-time":[27,110],"performance.":[28],"We":[29,65,89],"take":[30],"a":[31,40],"first":[32],"step":[33,108],"towards":[34],"understanding":[35],"the":[36,67,85,92],"bottlenecks":[37],"by":[38,78],"performing":[39],"measurement":[41],"study":[42],"of":[43,55,69,87,142],"three":[44],"recent":[45],"text-to-3D":[46,130],"(Point-E,":[49],"Shap-E,":[50],"CLIP-Mesh)":[52],"in":[53,104],"terms":[54],"their":[56],"runtime":[57],"GPU":[58],"memory":[59,116],"usage,":[60],"latency,":[61],"synthesis":[63],"quality.":[64,88],"investigate":[66],"effectiveness":[68],"quantization":[70],"distillation":[72],"techniques":[73],"overcome":[75],"challenges":[77],"speeding":[79],"up":[80],"inference":[81],"execution,":[82],"potentially":[83],"at":[84,136],"expense":[86],"find":[90],"that":[91],"Shap-E":[93],"model":[94],"promising":[96],"deployment,":[99],"but":[100],"requires":[101],"further":[102],"optimization":[103],"its":[105],"bottleneck":[106],"diffusion":[107],"performance,":[111],"as":[112,114],"well":[113],"reduced":[115],"usage":[117],"load":[119],"times.":[120],"Further":[121],"work":[122],"needed":[124],"custom":[126],"optimizations":[127],"models,":[131],"including":[132],"targeting":[133],"specific":[134],"metrics":[135],"each":[137],"computation":[138],"stage,":[139],"efficient":[140],"representations":[141],"objects,":[144],"adaptive":[146],"network":[147],"system":[149],"support":[150],"resource-hungry":[152],"models.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
