{"id":"https://openalex.org/W7135053650","doi":"https://doi.org/10.48550/arxiv.2603.10578","title":"R4-CGQA: Retrieval-based Vision Language Models for Computer Graphics Image Quality Assessment","display_name":"R4-CGQA: Retrieval-based Vision Language Models for Computer Graphics Image Quality Assessment","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7135053650","doi":"https://doi.org/10.48550/arxiv.2603.10578"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.10578","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10578","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.10578","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006367095","display_name":"Zhuangzi Li","orcid":"https://orcid.org/0000-0002-2565-6810"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhuangzi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128872239","display_name":"Jian Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049309570","display_name":"Shilv Cai","orcid":"https://orcid.org/0000-0002-4037-4555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Shilv","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128913006","display_name":"Weisi Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Weisi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.46149998903274536,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.46149998903274536,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.15690000355243683,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.10270000249147415,"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":0.7476000189781189},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.578000009059906},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.5175999999046326},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4713999927043915},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4553999900817871},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.45260000228881836},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4165000021457672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8398000001907349},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7476000189781189},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.578000009059906},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.5175999999046326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5102999806404114},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.45260000228881836},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4165000021457672},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40610000491142273},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.3456999957561493},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C3019940508","wikidata":"https://www.wikidata.org/wiki/Q185957","display_name":"Perceived quality","level":3,"score":0.2890999913215637},{"id":"https://openalex.org/C109772839","wikidata":"https://www.wikidata.org/wiki/Q2297645","display_name":"Software rendering","level":4,"score":0.28630000352859497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C66629338","wikidata":"https://www.wikidata.org/wiki/Q189177","display_name":"3D computer graphics","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.10578","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10578","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":"doi:10.48550/arxiv.2603.10578","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10578","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.700543224811554,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Immersive":[0],"Computer":[1],"Graphics":[2],"(CGs)":[3],"rendering":[4,30],"has":[5],"become":[6],"ubiquitous":[7],"in":[8,104,125],"modern":[9],"daily":[10],"life.":[11],"However,":[12],"comprehensively":[13],"evaluating":[14],"CG":[15,24,35,56,68,77,128,146,166,186],"quality":[16,36,57,72,82,167,187],"remains":[17],"challenging":[18],"for":[19],"two":[20],"reasons:":[21],"First,":[22],"existing":[23,34,111],"datasets":[25],"lack":[26],"systematic":[27],"descriptions":[28,103,132],"of":[29,55,66,92,110,133,143,170],"quality;":[31],"and":[32,62,80,156],"second":[33],"assessment":[37,168],"methods":[38],"cannot":[39],"provide":[40],"reasonable":[41],"text-based":[42],"explanations.":[43],"To":[44],"address":[45],"these":[46],"issues,":[47],"we":[48,88,152],"first":[49],"identify":[50],"six":[51],"key":[52],"perceptual":[53],"dimensions":[54],"from":[58],"the":[59,84,93,102,108,165],"user":[60],"perspective":[61],"construct":[63],"a":[64,90,140,144,158],"dataset":[65,94],"3500":[67],"images":[69,136],"with":[70],"corresponding":[71],"descriptions.":[73],"Each":[74],"description":[75],"covers":[76],"style,":[78],"content,":[79],"perceived":[81],"along":[83],"selected":[85],"dimensions.":[86],"Furthermore,":[87],"use":[89],"subset":[91],"to":[95,106],"build":[96],"several":[97,174],"question-answer":[98],"benchmarks":[99],"based":[100],"on":[101,173,185],"order":[105],"evaluate":[107],"responses":[109],"Vision":[112],"Language":[113],"Models":[114],"(VLMs).":[115],"We":[116],"find":[117],"that":[118,131,162,178],"current":[119],"VLMs":[120,176],"are":[121],"not":[122],"sufficiently":[123],"accurate":[124],"judging":[126],"fine-grained":[127],"quality,":[129],"but":[130],"visually":[134],"similar":[135],"can":[137],"significantly":[138],"improve":[139],"VLM's":[141],"understanding":[142],"given":[145],"image.":[147],"Motivated":[148],"by":[149],"this":[150],"observation,":[151],"adopt":[153],"retrieval-augmented":[154],"generation":[155],"propose":[157],"two-stream":[159],"retrieval":[160],"framework":[161],"effectively":[163],"enhances":[164],"capabilities":[169],"VLMs.":[171],"Experiments":[172],"representative":[175],"demonstrate":[177],"our":[179],"method":[180],"substantially":[181],"improves":[182],"their":[183],"performance":[184],"assessment.":[188]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-13T00:00:00"}