{"id":"https://openalex.org/W7139076093","doi":"https://doi.org/10.48550/arxiv.2603.17812","title":"ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation","display_name":"ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation","publication_year":2026,"publication_date":"2026-03-18","ids":{"openalex":"https://openalex.org/W7139076093","doi":"https://doi.org/10.48550/arxiv.2603.17812"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.17812","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17812","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":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.2603.17812","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078746457","display_name":"Dmitriy Rivkin","orcid":"https://orcid.org/0000-0003-4136-4831"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rivkin, Dmitriy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087569680","display_name":"Parker Ewen","orcid":"https://orcid.org/0000-0002-3693-7394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ewen, Parker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009544382","display_name":"Lili Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Lili","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085140402","display_name":"Julian Ost","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ost, Julian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006896172","display_name":"Stefanie Walz","orcid":"https://orcid.org/0009-0002-4819-3350"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Walz, Stefanie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091473398","display_name":"Rasika Kangutkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kangutkar, Rasika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039123611","display_name":"Mario Bijelic","orcid":"https://orcid.org/0000-0002-2676-9833"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bijelic, Mario","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059313827","display_name":"Felix Heide","orcid":"https://orcid.org/0000-0002-8054-9823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heide, Felix","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":0.5842999815940857,"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":0.5842999815940857,"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":0.1889999955892563,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.062300000339746475,"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/video-post-processing","display_name":"Video post-processing","score":0.6417999863624573},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6403999924659729},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.6190999746322632},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.6068000197410583},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.5958999991416931},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.522599995136261},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.508400022983551},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.49000000953674316},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.4763000011444092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146999835968018},{"id":"https://openalex.org/C117090137","wikidata":"https://www.wikidata.org/wiki/Q7927977","display_name":"Video post-processing","level":5,"score":0.6417999863624573},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6403999924659729},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.6190999746322632},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.6068000197410583},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.5958999991416931},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5476999878883362},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.522599995136261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5181999802589417},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.508400022983551},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.49000000953674316},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.4763000011444092},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.4666000008583069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4429999887943268},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.43160000443458557},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.3407999873161316},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2978000044822693},{"id":"https://openalex.org/C2780310081","wikidata":"https://www.wikidata.org/wiki/Q1154312","display_name":"Video editing","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.2913999855518341},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.27959999442100525},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.2632000148296356},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.2533999979496002},{"id":"https://openalex.org/C2778598663","wikidata":"https://www.wikidata.org/wiki/Q1407599","display_name":"Video content analysis","level":4,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.17812","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17812","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.17812","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17812","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"video":[1,42,71,113,126,134,141,143,145,153],"diffusion":[2,127],"models":[3,27,51,128],"achieve":[4],"high-quality":[5],"generation":[6,14,135],"through":[7],"recurrent":[8,21],"frame":[9,13,78],"processing":[10],"where":[11],"each":[12],"depends":[15],"on":[16],"previous":[17],"frames.":[18],"However,":[19],"this":[20,90],"mechanism":[22],"means":[23],"that":[24,94],"training":[25,104],"such":[26],"in":[28],"the":[29,40,110],"pixel":[30],"domain":[31],"incurs":[32],"prohibitive":[33],"memory":[34,105],"costs,":[35],"as":[36],"activations":[37],"accumulate":[38],"across":[39,129],"entire":[41],"sequence.":[43],"This":[44,62],"fundamental":[45],"limitation":[46],"also":[47],"makes":[48],"fine-tuning":[49,98],"these":[50],"with":[52,99,109,137],"pixel-wise":[53,138],"losses":[54],"computationally":[55],"intractable":[56],"for":[57,70],"long":[58],"or":[59],"high-resolution":[60],"videos.":[61],"paper":[63],"introduces":[64],"ChopGrad,":[65],"a":[66,86,130],"truncated":[67],"backpropagation":[68],"scheme":[69],"decoding,":[72],"limiting":[73],"gradient":[74],"computation":[75],"to":[76,117,123],"local":[77],"windows":[79],"while":[80],"maintaining":[81],"global":[82],"consistency.":[83],"We":[84],"provide":[85],"theoretical":[87],"analysis":[88],"of":[89,112,132,147],"approximation":[91],"and":[92,120,150],"show":[93],"it":[95],"enables":[96],"efficient":[97],"frame-wise":[100],"losses.":[101],"ChopGrad":[102],"reduces":[103],"from":[106],"scaling":[107],"linearly":[108],"number":[111],"frames":[114],"(full":[115],"backpropagation)":[116],"constant":[118],"memory,":[119],"compares":[121],"favorably":[122],"existing":[124],"state-of-the-art":[125],"suite":[131],"conditional":[133],"tasks":[136],"losses,":[139],"including":[140],"super-resolution,":[142],"inpainting,":[144],"enhancement":[146],"neural-rendered":[148],"scenes,":[149],"controlled":[151],"driving":[152],"generation.":[154]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-20T00:00:00"}