{"id":"https://openalex.org/W4417030970","doi":"https://doi.org/10.48550/arxiv.2512.03673","title":"ConvRot: Rotation-Based Plug-and-Play 4-bit Quantization for Diffusion Transformers","display_name":"ConvRot: Rotation-Based Plug-and-Play 4-bit Quantization for Diffusion Transformers","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4417030970","doi":"https://doi.org/10.48550/arxiv.2512.03673"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2512.03673","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03673","pdf_url":"https://arxiv.org/pdf/2512.03673","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.03673","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020661138","display_name":"Fujian Huang","orcid":"https://orcid.org/0000-0002-7777-1589"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huang, Feice","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009081560","display_name":"Z. Han","orcid":"https://orcid.org/0009-0005-0559-0489"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Zuliang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851240","display_name":"Zhou Xing","orcid":"https://orcid.org/0000-0002-3019-4243"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Xing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067474325","display_name":"Yihuang Chen","orcid":"https://orcid.org/0000-0002-2887-6317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yihuang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068103748","display_name":"Lin Zhu","orcid":"https://orcid.org/0000-0003-1167-8274"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Lifei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028229824","display_name":"Haoqian Wang","orcid":"https://orcid.org/0000-0003-2792-8469"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haoqian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020661138"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":0.6316999793052673,"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":0.6316999793052673,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.08749999850988388,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.027699999511241913,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.609000027179718},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5835000276565552},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5771999955177307},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.574400007724762},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5181000232696533},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4000999927520752}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.609000027179718},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5835000276565552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579800009727478},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5771999955177307},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.574400007724762},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5181000232696533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5042999982833862},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3849000036716461},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.35589998960494995},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31040000915527344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3059999942779541},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2874999940395355},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2512.03673","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03673","pdf_url":"https://arxiv.org/pdf/2512.03673","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2512.03673","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.03673","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.03673","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03673","pdf_url":"https://arxiv.org/pdf/2512.03673","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4417030970.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Diffusion":[0],"transformers":[1],"have":[2],"demonstrated":[3],"strong":[4],"capabilities":[5],"in":[6,30,58,148],"generating":[7],"high-quality":[8],"images.":[9],"However,":[10],"as":[11],"model":[12],"size":[13],"increases,":[14],"the":[15,138],"growing":[16],"memory":[17,127],"footprint":[18],"and":[19,42,53,83,107,114,125],"inference":[20,111,147],"latency":[21],"pose":[22],"significant":[23],"challenges":[24],"for":[25,144],"practical":[26],"deployment.":[27],"Recent":[28],"studies":[29],"large":[31],"language":[32],"models":[33],"(LLMs)":[34],"show":[35],"that":[36,73,102],"rotation-based":[37,70,142],"techniques":[38],"can":[39],"smooth":[40],"outliers":[41,57,85],"enable":[43],"4-bit":[44],"quantization,":[45,105],"but":[46],"these":[47,63],"approaches":[48],"often":[49],"incur":[50],"substantial":[51],"overhead":[52],"struggle":[54],"with":[55],"row-wise":[56,82],"diffusion":[59,149],"transformers.":[60,150],"To":[61,133],"address":[62],"challenges,":[64],"we":[65,96],"propose":[66],"ConvRot,":[67],"a":[68,99,122],"group-wise":[69],"quantization":[71,143],"method":[72],"leverages":[74],"regular":[75],"Hadamard":[76],"transform":[77],"(RHT)":[78],"to":[79,91],"suppress":[80],"both":[81],"column-wise":[84],"while":[86,129],"reducing":[87],"complexity":[88],"from":[89],"quadratic":[90],"linear.":[92],"Building":[93],"on":[94,119],"this,":[95],"design":[97],"ConvLinear4bit,":[98],"plug-and-play":[100,145],"module":[101],"integrates":[103],"rotation,":[104],"GEMM,":[106],"dequantization,":[108],"enabling":[109],"W4A4":[110,146],"without":[112],"retraining":[113],"preserving":[115],"visual":[116],"quality.":[117],"Experiments":[118],"FLUX.1-dev":[120],"demonstrate":[121],"2.26$\\times$":[123],"speedup":[124],"4.05$\\times$":[126],"reduction":[128],"maintaining":[130],"image":[131],"fidelity.":[132],"our":[134],"knowledge,":[135],"this":[136],"is":[137],"first":[139],"application":[140],"of":[141]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-12-05T00:00:00"}