{"id":"https://openalex.org/W7161138506","doi":"https://doi.org/10.1109/dcc66757.2026.00093","title":"Efficient Feedforward Human-Centric Video Compression via 3D Gaussian Generation","display_name":"Efficient Feedforward Human-Centric Video Compression via 3D Gaussian Generation","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7161138506","doi":"https://doi.org/10.1109/dcc66757.2026.00093"},"language":null,"primary_location":{"id":"doi:10.1109/dcc66757.2026.00093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015752554","display_name":"Haocheng Tang","orcid":"https://orcid.org/0009-0001-5702-2847"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haocheng Tang","raw_affiliation_strings":["School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041324197","display_name":"Ruoke Yan","orcid":"https://orcid.org/0000-0003-4570-5402"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoke Yan","raw_affiliation_strings":["School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430876","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0003-3415-5345"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zhang","raw_affiliation_strings":["School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136149688","display_name":"Jiaqi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Zhang","raw_affiliation_strings":["School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136105259","display_name":"Qi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["MIGU Video Co., Ltd.,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIGU Video Co., Ltd.,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136161599","display_name":"Lili Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lili Chen","raw_affiliation_strings":["MIGU Video Co., Ltd.,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIGU Video Co., Ltd.,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136178013","display_name":"Siwei Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University,State Key Laboratory of Multimedia Information Processing","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5015752554"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94339346,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"466","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.5996999740600586,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.5996999740600586,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.039799999445676804,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.02889999933540821,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5034999847412109},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.46950000524520874},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.3411000072956085},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.3314000070095062},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.31700000166893005},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.28380000591278076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28189998865127563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6137999892234802},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.490200012922287},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47029998898506165},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.46950000524520874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45590001344680786},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3314000070095062},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28119999170303345},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc66757.2026.00093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7168774008750916,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G6876435305","display_name":null,"funder_award_id":"L242014","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7903788244","display_name":null,"funder_award_id":"62025101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,51,67,90,103,107],"feed-forward":[6,91],"framework":[7],"(Fig.":[8],"1)":[9],"for":[10,26,85,119],"human":[11],"video":[12,36],"compression":[13,132],"based":[14],"on":[15],"3D":[16,92],"generative":[17],"reconstruction.":[18],"Recent":[19],"surveys":[20],"[1],":[21],"[2]":[22],"highlight":[23],"the":[24,44,55,59,80],"need":[25],"more":[27],"efficient":[28],"and":[29,41,72,106,122,136,157,167],"semantically":[30],"aligned":[31],"solutions.":[32],"Our":[33],"approach":[34],"disentangles":[35],"content":[37],"into":[38],"complementary":[39],"structural":[40,45,135],"motion":[42,56,117],"layers:":[43],"layer":[46,57],"encodes":[47],"regularized":[48],"texture":[49],"from":[50],"single":[52],"frame,":[53],"while":[54,133],"leverages":[58],"SMPL-X":[60],"prior":[61],"to":[62],"represent":[63],"complex":[64],"dynamics":[65],"with":[66,95,116,151],"compact":[68],"set":[69],"of":[70,82],"pose":[71],"shape":[73],"parameters.":[74],"A":[75],"hierarchical":[76],"coding":[77],"scheme":[78],"exploits":[79],"heterogeneity":[81],"these":[83],"representations":[84],"improved":[86],"efficiency.":[87],"After":[88],"decoding,":[89],"reconstruction":[93],"pipeline":[94],"facial":[96],"feature":[97],"extraction":[98],"is":[99],"employed,":[100],"in":[101,154],"which":[102],"multimodal":[104],"transformer":[105],"Gaussian":[108],"head":[109],"synthesize":[110],"parametric":[111],"cues":[112],"that":[113],"are":[114],"fused":[115],"signals":[118],"accurate":[120],"animation":[121],"high-fidelity":[123],"rendering.":[124],"Experiments":[125],"show":[126],"over":[127],"<tex":[128,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[129,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$1000":[130],"\\times$</tex>":[131],"preserving":[134],"semantic":[137],"fidelity.":[138],"The":[139],"method":[140],"consistently":[141],"outperforms":[142],"strong":[143],"baselines":[144],"(especially":[145],"at":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$0.04-0.1":[149],"\\text{kbpp})$</tex>,":[150],"significant":[152],"gains":[153],"rate-distortion,":[155],"FVD,":[156],"perceptual":[158],"quality,":[159],"as":[160,162],"well":[161],"robust":[163],"generalization":[164],"across":[165],"identities":[166],"scenes.":[168]},"counts_by_year":[],"updated_date":"2026-05-16T06:04:12.930555","created_date":"2026-05-15T00:00:00"}