{"id":"https://openalex.org/W7154279377","doi":"https://doi.org/10.48550/arxiv.2604.10940","title":"AmodalSVG: Amodal Image Vectorization via Semantic Layer Peeling","display_name":"AmodalSVG: Amodal Image Vectorization via Semantic Layer Peeling","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154279377","doi":"https://doi.org/10.48550/arxiv.2604.10940"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10940","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10940","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.2604.10940","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133602163","display_name":"Juncheng Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hu, Juncheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113145361","display_name":"Ziteng Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue, Ziteng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113395536","display_name":"Guotao Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Guotao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037518954","display_name":"Anran Qi","orcid":"https://orcid.org/0000-0001-7532-3451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Anran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057974742","display_name":"Buyu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Buyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133553577","display_name":"Sheng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Sheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133620898","display_name":"Dong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Dong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133619693","display_name":"Qian Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Qian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5133602163"],"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.809499979019165,"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":0.809499979019165,"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/T11448","display_name":"Face recognition and analysis","score":0.028699999675154686,"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":0.027300000190734863,"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/vectorization","display_name":"Vectorization (mathematics)","score":0.8700000047683716},{"id":"https://openalex.org/keywords/amodal-perception","display_name":"Amodal perception","score":0.6133999824523926},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.5902000069618225},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46799999475479126},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4307999908924103},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4174000024795532},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.3790999948978424},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.375}],"concepts":[{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.8700000047683716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7885000109672546},{"id":"https://openalex.org/C174478892","wikidata":"https://www.wikidata.org/wiki/Q4747455","display_name":"Amodal perception","level":3,"score":0.6133999824523926},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5773000121116638},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48829999566078186},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4174000024795532},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.375},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34709998965263367},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.3255999982357025},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.32199999690055847},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.31619998812675476},{"id":"https://openalex.org/C200833197","wikidata":"https://www.wikidata.org/wiki/Q333707","display_name":"Compile time","level":3,"score":0.30799999833106995},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C59662460","wikidata":"https://www.wikidata.org/wiki/Q170130","display_name":"Vector graphics","level":3,"score":0.2712000012397766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2628999948501587}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10940","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10940","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.2604.10940","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10940","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1,102],"AmodalSVG,":[2],"a":[3,27,74,107],"new":[4],"framework":[5],"for":[6],"amodal":[7,170],"image":[8,71,114],"vectorization":[9,23,72,185],"that":[10,110,158],"produces":[11],"semantically":[12,42,116],"organized":[13],"and":[14,34,44,80],"geometrically":[15,45],"complete":[16,89,124],"SVG":[17],"representations":[18],"from":[19],"natural":[20],"images.":[21],"Existing":[22],"methods":[24,163],"operate":[25],"under":[26,127],"modal":[28],"paradigm:":[29],"tracing":[30],"only":[31],"visible":[32],"pixels":[33],"disregarding":[35],"occlusion.":[36],"Consequently,":[37],"the":[38,83,98,147,168,177],"resulting":[39,169],"SVGs":[40],"are":[41,93],"entangled":[43],"incomplete,":[46],"limiting":[47],"SVG's":[48],"structural":[49],"editability.":[50],"In":[51,97],"contrast,":[52],"AmodalSVG":[53,69,159],"reconstructs":[54],"full":[55],"object":[56,125],"geometries,":[57],"including":[58],"occluded":[59],"regions,":[60],"into":[61,115],"independent,":[62],"editable":[63],"vector":[64,178],"layers.":[65,118],"To":[66,133],"achieve":[67],"this,":[68],"reformulates":[70],"as":[73],"two-stage":[75],"framework,":[76],"performing":[77],"semantic":[78,90,131],"decoupling":[79],"completion":[81],"in":[82,164,176],"raster":[84],"domain":[85],"to":[86],"produce":[87],"amodally":[88],"layers,":[91],"which":[92,144],"then":[94],"independently":[95],"vectorized.":[96],"first":[99],"stage,":[100],"we":[101,138],"Semantic":[103],"Layer":[104],"Peeling":[105],"(SLP),":[106],"VLM-guided":[108],"strategy":[109],"progressively":[111],"decomposes":[112],"an":[113,151],"coherent":[117],"By":[119],"hybrid":[120],"inpainting,":[121],"SLP":[122],"recovers":[123],"appearances":[126],"occlusions,":[128],"enabling":[129],"explicit":[130],"decoupling.":[132],"vectorize":[134],"these":[135],"layers":[136,171],"efficiently,":[137],"propose":[139],"Adaptive":[140],"Layered":[141],"Vectorization":[142],"(ALV),":[143],"dynamically":[145],"modulates":[146],"primitive":[148],"budget":[149],"via":[150],"error-budget-driven":[152],"adjustment":[153],"mechanism.":[154],"Extensive":[155],"experiments":[156],"demonstrate":[157],"significantly":[160],"outperforms":[161],"prior":[162],"visual":[165],"fidelity.":[166],"Moreover,":[167],"enable":[172],"object-level":[173],"editing":[174],"directly":[175],"domain,":[179],"capabilities":[180],"not":[181],"supported":[182],"by":[183],"existing":[184],"approaches.":[186],"Code":[187],"will":[188],"be":[189],"released":[190],"upon":[191],"acceptance.":[192]},"counts_by_year":[],"updated_date":"2026-04-15T06:04:33.058270","created_date":"2026-04-15T00:00:00"}
