{"id":"https://openalex.org/W7160512107","doi":"https://doi.org/10.48550/arxiv.2605.05155","title":"Aes3D: Aesthetic Assessment in 3D Gaussian Splatting","display_name":"Aes3D: Aesthetic Assessment in 3D Gaussian Splatting","publication_year":2026,"publication_date":"2026-05-06","ids":{"openalex":"https://openalex.org/W7160512107","doi":"https://doi.org/10.48550/arxiv.2605.05155"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.05155","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05155","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":null,"license_id":null,"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.2605.05155","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082895857","display_name":"Chuanzhi Xu","orcid":"https://orcid.org/0009-0009-0613-3705"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chuanzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129565664","display_name":"Boyu Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Boyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129483983","display_name":"Haoxian Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Haoxian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125194282","display_name":"Xuanhua Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Xuanhua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124788610","display_name":"Zihan Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Zihan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135605583","display_name":"Haodong Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Haodong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135605584","display_name":"Qiang Qu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qu, Qiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135539851","display_name":"Weidong Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Weidong","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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.885699987411499,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.885699987411499,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.02250000089406967,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.019999999552965164,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7222999930381775},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5738999843597412},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5551999807357788},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.44780001044273376},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.39430001378059387},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.37619999051094055},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.375900000333786},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3327000141143799}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8004000186920166},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7222999930381775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6151000261306763},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5738999843597412},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5551999807357788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5135999917984009},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37950000166893005},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3327000141143799},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.26409998536109924},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.05155","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05155","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.05155","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05155","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5991978645324707,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"3D":[1,18,29,36,111,123,134,160,216],"Gaussian":[2,161],"Splatting":[3],"(3DGS)":[4],"gains":[5],"attention":[6],"in":[7,22,227],"immersive":[8],"media":[9],"and":[10,42,54,74,170,175,192,221],"digital":[11],"content":[12],"creation,":[13],"assessing":[14,107],"the":[15,65,76,102,108,118,164],"aesthetics":[16,109],"of":[17,67,79,110],"scenes":[19,37],"becomes":[20],"important":[21],"helping":[23],"creators":[24],"build":[25],"more":[26],"visually":[27],"compelling":[28],"content.":[30],"However,":[31],"existing":[32],"evaluation":[33],"methods":[34],"for":[35,106,133,166,215],"primarily":[38],"emphasize":[39],"reconstruction":[40],"fidelity":[41],"perceptual":[43],"realism,":[44],"largely":[45],"overlooking":[46],"higher-level":[47],"aesthetic":[48,72,93,125,149,190,195,218],"attributes":[49],"such":[50],"as":[51,81],"composition,":[52],"harmony,":[53],"visual":[55],"appeal.":[56],"This":[57],"limitation":[58],"comes":[59],"from":[60,151],"two":[61],"key":[62],"challenges:":[63],"(1)":[64],"absence":[66],"general":[68],"3DGS":[69,80,152,183],"datasets":[70,222],"with":[71],"annotations,":[73],"(2)":[75],"intrinsic":[77],"nature":[78],"a":[82,142,208,212,228],"low-level":[83],"primitive":[84],"representation,":[85],"which":[86],"makes":[87],"it":[88],"difficult":[89],"to":[90,122],"capture":[91],"high-level":[92,189],"features.":[94],"To":[95],"address":[96],"these":[97],"challenges,":[98],"we":[99,139],"propose":[100],"Aes3D,":[101],"first":[103,119],"systematic":[104],"framework":[105],"neural":[112],"rendering":[113,167],"scenes.":[114],"Aes3D":[115],"includes":[116],"Aesthetic3D,":[117],"dataset":[120],"dedicated":[121],"scene":[124,135,184,217],"assessment,":[126],"built":[127],"on":[128,159,181],"our":[129,155,201],"proposed":[130],"annotation":[131],"strategy":[132],"aesthetics.":[136],"In":[137],"addition,":[138],"present":[140],"Aes3DGSNet,":[141],"lightweight":[143,209],"model":[144,156],"that":[145,200],"directly":[146],"predicts":[147],"scene-level":[148],"scores":[150],"representations.":[153],"Notably,":[154],"operates":[157],"solely":[158],"primitives,":[162],"eliminating":[163],"need":[165],"multi-view":[168,182],"images":[169],"thus":[171],"reducing":[172],"computational":[173],"cost":[174],"hardware":[176],"requirements.":[177],"Through":[178],"aesthetics-supervised":[179],"learning":[180],"representations,":[185],"Aes3DGSNet":[186],"effectively":[187],"captures":[188],"cues":[191],"accurately":[193],"regresses":[194],"scores.":[196],"Experimental":[197],"results":[198],"demonstrate":[199],"approach":[202],"achieves":[203],"strong":[204],"performance":[205],"while":[206],"maintaining":[207],"design,":[210],"establishing":[211],"new":[213],"benchmark":[214],"assessment.":[219],"Code":[220],"will":[223],"be":[224],"made":[225],"available":[226],"future":[229],"version.":[230]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-08T00:00:00"}
