{"id":"https://openalex.org/W7161577238","doi":"https://doi.org/10.48550/arxiv.2605.15320","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","display_name":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161577238","doi":"https://doi.org/10.48550/arxiv.2605.15320"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15320","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15320","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.15320","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080353601","display_name":"Thuan Hoang Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Thuan Hoang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136440238","display_name":"Jiahao Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Jiahao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051467266","display_name":"Yinyu Nie","orcid":"https://orcid.org/0000-0001-7023-6797"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nie, Yinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136430671","display_name":"Hao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136365745","display_name":"Gordon Guocheng Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Gordon Guocheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136401687","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-9286-2809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jian","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.565500020980835,"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":0.565500020980835,"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":0.24549999833106995,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.041099999099969864,"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/avatar","display_name":"Avatar","score":0.621999979019165},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5108000040054321},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5059999823570251},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.46970000863075256},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.435699999332428},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.3828999996185303},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.3806000053882599},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.3783000111579895},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3659999966621399},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.35420000553131104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749000191688538},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.621999979019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5752999782562256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.517799973487854},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5059999823570251},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3659999966621399},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.35199999809265137},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.337799996137619},{"id":"https://openalex.org/C138591656","wikidata":"https://www.wikidata.org/wiki/Q5157538","display_name":"Computer facial animation","level":4,"score":0.32350000739097595},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C136520226","wikidata":"https://www.wikidata.org/wiki/Q302814","display_name":"Geometric data analysis","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28760001063346863},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27959999442100525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2784999907016754},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.25540000200271606},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15320","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15320","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.15320","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15320","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Avatar":[0],"reconstruction":[1],"has":[2],"traditionally":[3],"relied":[4],"on":[5,14,94,111,197],"per-subject":[6],"optimization":[7,141],"that":[8,17,27,83,131,146],"requires":[9],"hours":[10],"of":[11,72,117],"computation":[12],"or":[13],"expensive":[15],"preprocessing":[16],"limits":[18],"scalability.":[19],"We":[20,76],"introduce":[21],"FFAvatar,":[22],"a":[23,50,79,112,149,170,198],"generalizable":[24,106],"feed-forward":[25],"framework":[26],"reconstructs":[28],"high-quality,":[29],"animatable":[30],"3D":[31],"Gaussian":[32,53],"head":[33],"avatars":[34,181],"from":[35,45,67],"few-shot":[36],"unposed":[37],"portrait":[38],"images":[39,48],"in":[40,182],"seconds.":[41],"FFAvatar":[42,147,176],"fuses":[43],"information":[44],"multiple":[46],"source":[47],"into":[49],"unified":[51],"canonical":[52],"representation":[54],"through":[55],"Multi-View":[56],"Query-Former,":[57],"which":[58],"is":[59],"animated":[60],"via":[61],"FLAME":[62,74],"parameters":[63],"predicted":[64],"end-to-end":[65],"directly":[66],"pixels,":[68],"eliminating":[69],"the":[70,161,166],"overhead":[71],"offline":[73],"extraction.":[75],"further":[77],"propose":[78],"three-stage":[80],"training":[81],"curriculum":[82],"achieves":[84],"both":[85],"broad":[86],"generalization":[87],"and":[88,124,127,157,187],"high-fidelity":[89],"reconstruction:":[90],"(i)":[91],"scalable":[92],"pretraining":[93],"extensive":[95],"monocular":[96],"video":[97],"data":[98],"with":[99,190],"over":[100],"1M":[101],"identities":[102,135],"to":[103,120,133],"learn":[104],"strong":[105],"priors;":[107],"(ii)":[108],"multi-view":[109],"fine-tuning":[110],"small":[113],"but":[114],"high-quality":[115],"dataset":[116],"360-degree":[118],"captures":[119],"enhance":[121],"geometric":[122,155],"fidelity":[123,138],"extreme-view":[125],"awareness;":[126],"(iii)":[128],"optional":[129],"personalization":[130,186],"adapts":[132],"specific":[134],"for":[136,152],"maximum":[137],"within":[139],"500":[140],"steps.":[142],"Extensive":[143],"experiments":[144],"demonstrate":[145],"sets":[148],"new":[150],"standard":[151],"identity":[153],"preservation,":[154],"consistency,":[156],"animation":[158,196],"fidelity.":[159],"On":[160],"NeRSemble":[162],"benchmark,":[163],"it":[164],"outperforms":[165],"state-of-the-art":[167],"LAM":[168],"by":[169],"substantial":[171],"5.5":[172],"PSNR":[173],"gain.":[174],"Furthermore,":[175],"enables":[177],"real-time":[178],"deployment,":[179],"reconstructing":[180],"2":[183],"seconds":[184,189],"without":[185],"10":[188],"personalization,":[191],"while":[192],"supporting":[193],"49":[194],"FPS":[195],"single":[199],"NVIDIA":[200],"A100":[201],"GPU.":[202]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-19T00:00:00"}
