{"id":"https://openalex.org/W4400324494","doi":"https://doi.org/10.48550/arxiv.2407.00500","title":"Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing","display_name":"Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing","publication_year":2024,"publication_date":"2024-06-29","ids":{"openalex":"https://openalex.org/W4400324494","doi":"https://doi.org/10.48550/arxiv.2407.00500"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.00500","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.00500","pdf_url":"https://arxiv.org/pdf/2407.00500","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.00500","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030415636","display_name":"Alireza Moazeni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moazeni, Alireza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033008869","display_name":"Shichong Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Shichong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100655785","display_name":"Ke Li","orcid":"https://orcid.org/0000-0001-7199-9139"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ke","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T13579","display_name":"Image and Video Stabilization","score":0.9927999973297119,"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/shading","display_name":"Shading","score":0.702207088470459},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6493384838104248},{"id":"https://openalex.org/keywords/albedo","display_name":"Albedo (alchemy)","score":0.5285619497299194},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5069242119789124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.506485104560852},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3313671350479126},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.25256654620170593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22511368989944458},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14198747277259827},{"id":"https://openalex.org/keywords/art-history","display_name":"Art history","score":0.06784212589263916}],"concepts":[{"id":"https://openalex.org/C177515723","wikidata":"https://www.wikidata.org/wiki/Q1191981","display_name":"Shading","level":2,"score":0.702207088470459},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6493384838104248},{"id":"https://openalex.org/C195886398","wikidata":"https://www.wikidata.org/wiki/Q2110050","display_name":"Albedo (alchemy)","level":3,"score":0.5285619497299194},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5069242119789124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.506485104560852},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3313671350479126},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.25256654620170593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22511368989944458},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14198747277259827},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.06784212589263916},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2407.00500","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.00500","pdf_url":"https://arxiv.org/pdf/2407.00500","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2407.00500","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.00500","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.00500","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.00500","pdf_url":"https://arxiv.org/pdf/2407.00500","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2994336186","https://openalex.org/W2390827063","https://openalex.org/W2587512547","https://openalex.org/W2372305560","https://openalex.org/W2393851740","https://openalex.org/W2103040079","https://openalex.org/W2960872271","https://openalex.org/W2319567267","https://openalex.org/W2392589984","https://openalex.org/W2315756339"],"abstract_inverted_index":{"Recent":[0],"advancements":[1,95],"in":[2,96,102],"neural":[3,98,118],"rendering":[4,99,119,178,188],"have":[5],"excelled":[6],"at":[7,30,63,68,90],"novel":[8,111,186],"view":[9,187],"synthesis":[10],"from":[11,55],"multi-view":[12,56],"RGB":[13,57],"images.":[14],"However,":[15],"they":[16],"often":[17],"lack":[18],"the":[19,23,28,45,64,91,115,132,136,174],"capability":[20],"to":[21,167],"edit":[22],"shading":[24,53,145,164,194],"or":[25,71,147],"colour":[26],"of":[27,47,135],"scene":[29,50,159],"a":[31,69,110],"detailed":[32,61],"point-level,":[33],"while":[34],"ensuring":[35],"consistency":[36],"across":[37],"different":[38],"viewpoints.":[39],"In":[40],"this":[41,104],"work,":[42],"we":[43,156],"address":[44],"challenge":[46],"point-level":[48,65,191],"3D":[49,87],"albedo":[51,162,192],"and":[52,163,189,193],"editing":[54,62,89],"images,":[58],"focusing":[59],"on":[60,78,114,143],"rather":[66],"than":[67],"part":[70],"global":[72],"level.":[73],"While":[74],"prior":[75],"works":[76],"based":[77,113],"volumetric":[79],"representation":[80],"such":[81],"as":[82],"NeRF":[83],"struggle":[84],"with":[85],"achieving":[86],"consistent":[88],"point":[92],"level,":[93],"recent":[94,116],"point-based":[97,117,128,176],"show":[100],"promise":[101],"overcoming":[103],"challenge.":[105],"We":[106],"introduce":[107],"``Intrinsic":[108],"PAPR'',":[109],"method":[112],"technique":[120],"Proximity":[121],"Attention":[122],"Point":[123],"Rendering":[124],"(PAPR).":[125],"Unlike":[126],"other":[127],"methods":[129,179],"that":[130,150,181],"model":[131,158],"intrinsic":[133],"decomposition":[134,160],"scene,":[137],"our":[138],"approach":[139],"does":[140],"not":[141,152],"rely":[142],"complicated":[144],"models":[146],"simplistic":[148],"priors":[149],"may":[151],"universally":[153],"apply.":[154],"Instead,":[155],"directly":[157],"into":[161],"components,":[165],"leading":[166],"better":[168],"estimation":[169],"accuracy.":[170],"Comparative":[171],"evaluations":[172],"against":[173],"latest":[175],"inverse":[177],"demonstrate":[180],"Intrinsic":[182],"PAPR":[183],"achieves":[184],"higher-quality":[185],"superior":[190],"editing.":[195]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
