{"id":"https://openalex.org/W4385849419","doi":"https://doi.org/10.1145/3581783.3612708","title":"Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation","display_name":"Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4385849419","doi":"https://doi.org/10.1145/3581783.3612708"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612708","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612708","pdf_url":null,"source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3581783.3612708","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101743972","display_name":"Alexander Martin","orcid":"https://orcid.org/0000-0002-8863-4002"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Martin","raw_affiliation_strings":["University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016267591","display_name":"Haitian Zheng","orcid":"https://orcid.org/0000-0003-0415-1765"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haitian Zheng","raw_affiliation_strings":["University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070224744","display_name":"Jie An","orcid":"https://orcid.org/0000-0002-1402-8288"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie An","raw_affiliation_strings":["University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101743972"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09131592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9320","last_page":"9328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9940999746322632,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9940999746322632,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9491000175476074,"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":0.7121177911758423},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.696649432182312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6046408414840698},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5501391291618347},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5398373603820801},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.533809244632721},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4868699610233307},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44568338990211487},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35482484102249146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.332413911819458},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.330743670463562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1163722574710846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121177911758423},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.696649432182312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6046408414840698},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5501391291618347},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5398373603820801},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.533809244632721},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4868699610233307},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44568338990211487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35482484102249146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.332413911819458},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.330743670463562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1163722574710846},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3581783.3612708","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612708","pdf_url":null,"source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.07316","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.07316","pdf_url":"https://arxiv.org/pdf/2308.07316","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612708","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612708","pdf_url":null,"source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7599999904632568,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2056207324","https://openalex.org/W2108598243","https://openalex.org/W2788682721","https://openalex.org/W2963767194","https://openalex.org/W2964840954","https://openalex.org/W3034482833","https://openalex.org/W3138160533","https://openalex.org/W3155072588","https://openalex.org/W4221145617","https://openalex.org/W4221161147","https://openalex.org/W4312933868","https://openalex.org/W4386076532"],"related_works":["https://openalex.org/W3166978923","https://openalex.org/W2986947168","https://openalex.org/W2904276469","https://openalex.org/W3109545856","https://openalex.org/W2971888217","https://openalex.org/W2798873573","https://openalex.org/W2964287360","https://openalex.org/W4281389463","https://openalex.org/W2990774877","https://openalex.org/W3093339210"],"abstract_inverted_index":{"With":[0],"a":[1,69,85,131],"strong":[2],"understanding":[3],"of":[4,45,72,108,114,123,136,198,202],"the":[5,57,121,154,161,172,178,199],"target":[6,58,162,179],"domain":[7,18,40,66,112,156,163,180,196],"from":[8],"natural":[9],"language,":[10],"we\\nproduce":[11],"promising":[12],"results":[13],"in":[14],"translating":[15,90,109],"across":[16,38,110],"large":[17,39,43,65,111,155],"gaps":[19,67],"and":[20,49,79,125,129,174,190],"bringing\\nskeletons":[21],"back":[22],"to":[23,55,62],"life.":[24],"In":[25,81],"this":[26,96],"work,":[27],"we":[28,83,98,119,167],"use":[29,122,188],"text-guided":[30],"latent":[31],"diffusion\\nmodels":[32],"for":[33,89,150,186],"zero-shot":[34,138],"image-to-image":[35],"translation":[36],"(I2I)":[37],"gaps\\n(longI2I),":[41],"where":[42],"amounts":[44],"new":[46,50,86,132],"visual":[47],"features":[48],"geometry":[51],"need":[52],"to\\nbe":[53],"generated":[54],"enter":[56],"domain.":[59],"Being":[60],"able":[61],"perform":[63],"translations\\nacross":[64],"has":[68],"wide":[70,200],"variety":[71,201],"real-world":[73],"applications":[74],"in\\ncriminology,":[75],"astrology,":[76],"environmental":[77],"conservation,":[78],"paleontology.":[80],"this\\nwork,":[82],"introduce":[84],"task":[87],"Skull2Animal":[88],"between":[91],"skulls":[92],"and\\nliving":[93],"animals.":[94],"On":[95],"task,":[97],"find":[99,145,168],"that":[100,146,169],"unguided":[101],"Generative":[102],"Adversarial\\nNetworks":[103],"(GANs)":[104],"are":[105,205],"not":[106],"capable":[107,135],"gaps.\\nInstead":[113],"these":[115],"traditional":[116],"I2I":[117,139],"methods,":[118],"explore":[120],"guided\\ndiffusion":[124],"image":[126],"editing":[127],"models":[128],"provide":[130],"benchmark":[133],"model,\\nRevive-2I,":[134],"performing":[137],"via":[140],"text-prompting":[141],"latent\\ndiffusion":[142],"models.":[143],"We":[144],"guidance":[147],"is":[148,164],"necessary":[149],"longI2I":[151],"because,":[152],"to\\nbridge":[153],"gap,":[157],"prior":[158],"knowledge":[159],"about":[160,177],"needed.\\nIn":[165],"addition,":[166],"prompting":[170],"provides":[171],"best":[173],"most":[175],"scalable\\ninformation":[176],"as":[181],"classifier-guided":[182],"diffusion":[183],"models\\nrequire":[184],"retraining":[185],"specific":[187],"cases":[189],"lack":[191],"stronger":[192],"constraints":[193],"on":[194],"the\\ntarget":[195],"because":[197],"images":[203],"they":[204],"trained":[206],"on.\\n":[207]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}