{"id":"https://openalex.org/W4415540819","doi":"https://doi.org/10.1145/3746027.3761991","title":"ACM Multimedia 2025 Grand Challenge report for Image-to-Video Generation Model Acceleration","display_name":"ACM Multimedia 2025 Grand Challenge report for Image-to-Video Generation Model Acceleration","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415540819","doi":"https://doi.org/10.1145/3746027.3761991"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3761991","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3761991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5103039153","display_name":"Jie Yang","orcid":"https://orcid.org/0009-0008-2856-2239"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China and MGTV, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0008-2856-2239","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China and MGTV, Changsha, China","institution_ids":["https://openalex.org/I198357462","https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084781758","display_name":"Shien Song","orcid":"https://orcid.org/0009-0005-0324-243X"},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shien Song","raw_affiliation_strings":["MGTV, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0005-0324-243X","affiliations":[{"raw_affiliation_string":"MGTV, Changsha, Hunan, China","institution_ids":["https://openalex.org/I198357462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037950203","display_name":"Jin Chen","orcid":"https://orcid.org/0009-0003-7984-8054"},"institutions":[{"id":"https://openalex.org/I4210154323","display_name":"China Central Television","ror":"https://ror.org/059h8x781","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210154323"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Chen","raw_affiliation_strings":["MGTV, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-7984-8054","affiliations":[{"raw_affiliation_string":"MGTV, Beijing, China","institution_ids":["https://openalex.org/I4210154323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120132493","display_name":"Haoyuan Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyuan Xie","raw_affiliation_strings":["MGTV, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0006-0171-4488","affiliations":[{"raw_affiliation_string":"MGTV, Changsha, Hunan, China","institution_ids":["https://openalex.org/I198357462"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Han Qi","orcid":"https://orcid.org/0009-0002-8206-873X"},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Qi","raw_affiliation_strings":["MGTV, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0002-8206-873X","affiliations":[{"raw_affiliation_string":"MGTV, Changsha, Hunan, China","institution_ids":["https://openalex.org/I198357462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405087","display_name":"Yifei Xue","orcid":"https://orcid.org/0000-0002-4443-4367"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Xue","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-4443-4367","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043934992","display_name":"Yizhen Lao","orcid":"https://orcid.org/0000-0002-6284-1724"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhen Lao","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-6284-1724","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26219037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13766","last_page":"13770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983999729156494,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9976999759674072,"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/inference","display_name":"Inference","score":0.7591999769210815},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5745000243186951},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41100001335144043},{"id":"https://openalex.org/keywords/grand-challenges","display_name":"Grand Challenges","score":0.3659000098705292},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.322299987077713},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.3142000138759613}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7591999769210815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335000038146973},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5745000243186951},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.47110000252723694},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41100001335144043},{"id":"https://openalex.org/C2777362162","wikidata":"https://www.wikidata.org/wiki/Q5594431","display_name":"Grand Challenges","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3490000069141388},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.313400000333786},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3761991","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3761991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4214745154","https://openalex.org/W4390874580","https://openalex.org/W4402753903"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"MGTV":[1],"organized":[2],"the":[3,16,32,94,116,131],"Image-to-Video":[4],"Model":[5],"Acceleration":[6],"Challenge,":[7],"calling":[8],"for":[9,15,82],"participants":[10,91],"to":[11,30,79,92,130],"propose":[12],"optimization":[13],"solutions":[14],"Wan":[17],"2.1-14B":[18],"model.":[19],"The":[20],"challenge":[21,77,117,133],"emphasizes":[22],"techniques":[23],"such":[24],"as":[25],"quantization":[26],"and":[27,64,98,114,122],"GPU":[28],"acceleration":[29],"improve":[31],"model's":[33,95],"inference":[34,62,103],"efficiency.":[35,75],"As":[36],"AIGC":[37],"technology":[38],"advances":[39],"rapidly,":[40],"video":[41,84],"generation":[42,85,108],"large":[43],"models":[44],"exhibit":[45],"great":[46],"potential":[47],"in":[48],"content":[49,73],"creation,":[50],"yet":[51],"they":[52],"face":[53],"critical":[54],"challenges":[55],"of":[56],"high":[57],"computing":[58,88,96],"power":[59,97],"consumption,":[60],"long":[61],"time,":[63],"excessive":[65],"VRAM":[66,99],"usage":[67],"during":[68],"inference,":[69],"which":[70],"severely":[71],"hinder":[72],"production":[74],"This":[76],"aims":[78],"explore":[80],"approaches":[81],"efficient":[83],"under":[86],"limited":[87],"resources,":[89],"requiring":[90],"reduce":[93],"demands":[100],"while":[101],"improving":[102],"speed,":[104],"all":[105],"without":[106],"compromising":[107],"quality.":[109],"To":[110],"support":[111],"participants'":[112],"development":[113],"evaluation,":[115],"provides":[118],"a":[119],"baseline":[120],"framework":[121],"test":[123],"dataset.":[124],"For":[125],"further":[126],"details,":[127],"please":[128],"refer":[129],"official":[132],"website":[134],"(https://challenge.ai.mgtv.com/#/track/53).":[135]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-25T00:00:00"}