{"id":"https://openalex.org/W7133596222","doi":"https://doi.org/10.48550/arxiv.2603.03505","title":"PhyPrompt: RL-based Prompt Refinement for Physically Plausible Text-to-Video Generation","display_name":"PhyPrompt: RL-based Prompt Refinement for Physically Plausible Text-to-Video Generation","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133596222","doi":"https://doi.org/10.48550/arxiv.2603.03505"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.03505","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126222462","display_name":"Shang Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Shang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128179468","display_name":"Chenwei Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chenwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128148108","display_name":"Zhuofan Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Zhuofan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128172072","display_name":"Weijian Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Weijian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128145990","display_name":"Lie Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Lie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005531495","display_name":"Pranav Maneriker","orcid":"https://orcid.org/0000-0003-1333-4424"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maneriker, Pranav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128150449","display_name":"Fan Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Fan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128135022","display_name":"Manling Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Manling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128206129","display_name":"Han Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Han","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27709414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.548799991607666,"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":0.548799991607666,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.19930000603199005,"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/T12290","display_name":"Human Motion and Animation","score":0.027000000700354576,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7466999888420105},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.6370999813079834},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5644999742507935},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4993000030517578},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3797999918460846},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.3357999920845032},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3003000020980835}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7466999888420105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087000012397766},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.6370999813079834},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5644999742507935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479999780654907},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4993000030517578},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.46619999408721924},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.03505","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.03505","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03505","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":"pmh:doi:10.48550/arxiv.2603.03505","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.5751374959945679,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"State-of-the-art":[0],"text-to-video":[1],"(T2V)":[2],"generators":[3],"frequently":[4],"violate":[5],"physical":[6,18,104,121],"laws":[7],"despite":[8],"high":[9],"visual":[10],"quality.":[11],"We":[12,42],"show":[13],"this":[14],"stems":[15],"from":[16],"insufficient":[17],"constraints":[19],"in":[20],"prompts":[21,53],"rather":[22],"than":[23],"model":[24,64],"limitations:":[25],"manually":[26],"adding":[27],"physics":[28],"details":[29],"reliably":[30],"produces":[31],"physically":[32,55],"plausible":[33],"videos,":[34],"but":[35],"requires":[36],"expertise":[37],"and":[38,76,160],"does":[39],"not":[40],"scale.":[41],"present":[43],"PhyPrompt,":[44],"a":[45,61,66,91],"two-stage":[46],"reinforcement":[47,188],"learning":[48,189],"framework":[49],"that":[50,95,186],"automatically":[51],"refines":[52],"for":[54,196],"realistic":[56],"generation.":[57,198],"First,":[58],"we":[59,84],"fine-tune":[60],"large":[62],"language":[63],"on":[65,116,144],"physics-focused":[67],"Chain-of-Thought":[68],"dataset":[69],"to":[70,126,136,182],"integrate":[71],"principles":[72],"like":[73],"object":[74],"motion":[75],"force":[77],"interactions":[78],"while":[79,128],"preserving":[80],"user":[81],"intent.":[82],"Second,":[83],"apply":[85],"Group":[86],"Relative":[87],"Policy":[88],"Optimization":[89],"with":[90,180,190],"dynamic":[92],"reward":[93],"curriculum":[94,107,140],"initially":[96],"prioritizes":[97],"semantic":[98,131],"fidelity,":[99],"then":[100],"progressively":[101],"shifts":[102],"toward":[103],"commonsense.":[105],"This":[106],"achieves":[108],"synergistic":[109],"optimization:":[110],"PhyPrompt-7B":[111],"reaches":[112],"40.8\\%":[113],"joint":[114],"success":[115],"VideoPhy2":[117],"(8.6pp":[118],"gain),":[119],"improving":[120],"commonsense":[122],"by":[123,133],"11pp":[124],"(55.8\\%":[125],"66.8\\%)":[127],"simultaneously":[129],"increasing":[130],"adherence":[132],"4.4pp":[134],"(43.4\\%":[135],"47.8\\%).":[137],"Remarkably,":[138],"our":[139],"exceeds":[141],"single-objective":[142],"training":[143],"both":[145],"metrics,":[146],"demonstrating":[147],"compositional":[148,191],"prompt":[149],"discovery":[150],"beyond":[151],"conventional":[152],"multi-objective":[153],"trade-offs.":[154],"PhyPrompt":[155],"outperforms":[156],"GPT-4o":[157],"(+3.8\\%":[158],"joint)":[159],"DeepSeek-V3":[161],"(+2.2\\%,":[162],"100$\\times$":[163],"larger)":[164],"using":[165],"only":[166],"7B":[167],"parameters.":[168],"The":[169],"approach":[170],"transfers":[171],"zero-shot":[172],"across":[173],"diverse":[174],"T2V":[175],"architectures":[176],"(Lavie,":[177],"VideoCrafter2,":[178],"CogVideoX-5B)":[179],"up":[181],"16.8\\%":[183],"improvement,":[184],"establishing":[185],"domain-specialized":[187],"curricula":[192],"surpasses":[193],"general-purpose":[194],"scaling":[195],"physics-aware":[197]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-06T00:00:00"}