{"id":"https://openalex.org/W3183362098","doi":"https://doi.org/10.1145/3450626.3459876","title":"Weakly-supervised contrastive learning in path manifold for Monte Carlo image reconstruction","display_name":"Weakly-supervised contrastive learning in path manifold for Monte Carlo image reconstruction","publication_year":2021,"publication_date":"2021-07-19","ids":{"openalex":"https://openalex.org/W3183362098","doi":"https://doi.org/10.1145/3450626.3459876","mag":"3183362098"},"language":"en","primary_location":{"id":"doi:10.1145/3450626.3459876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450626.3459876","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5101635961","display_name":"In-Young Cho","orcid":"https://orcid.org/0000-0003-0916-5912"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In-Young Cho","raw_affiliation_strings":["KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081150377","display_name":"Yuchi Huo","orcid":"https://orcid.org/0000-0003-3296-7999"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yuchi Huo","raw_affiliation_strings":["KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078173428","display_name":"Sung\u2010Eui Yoon","orcid":"https://orcid.org/0000-0002-7123-1119"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Eui Yoon","raw_affiliation_strings":["KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1643,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80593861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"40","issue":"4","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9972000122070312,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996999979019165,"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/embedding","display_name":"Embedding","score":0.648862361907959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6453242301940918},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5797125101089478},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5763121247291565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5409947037696838},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5068541169166565},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.48920369148254395},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4250369369983673},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4238082468509674},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.412431001663208},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40243661403656006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39557918906211853},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.2659618556499481},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24188056588172913}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.648862361907959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453242301940918},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5797125101089478},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5763121247291565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5409947037696838},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5068541169166565},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.48920369148254395},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4250369369983673},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4238082468509674},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.412431001663208},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40243661403656006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39557918906211853},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2659618556499481},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24188056588172913},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3450626.3459876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450626.3459876","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1677149932","https://openalex.org/W1677182931","https://openalex.org/W1782590233","https://openalex.org/W1966671941","https://openalex.org/W1976454752","https://openalex.org/W1983599709","https://openalex.org/W1984696318","https://openalex.org/W2020681231","https://openalex.org/W2030716039","https://openalex.org/W2037735934","https://openalex.org/W2038630728","https://openalex.org/W2093521861","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2138621090","https://openalex.org/W2138624212","https://openalex.org/W2144172034","https://openalex.org/W2151047098","https://openalex.org/W2165652511","https://openalex.org/W2187089797","https://openalex.org/W2207744012","https://openalex.org/W2240434622","https://openalex.org/W2271840356","https://openalex.org/W2466064361","https://openalex.org/W2556872594","https://openalex.org/W2731574721","https://openalex.org/W2737368828","https://openalex.org/W2738449271","https://openalex.org/W2746791238","https://openalex.org/W2748140016","https://openalex.org/W2798280964","https://openalex.org/W2798991696","https://openalex.org/W2811168853","https://openalex.org/W2898411957","https://openalex.org/W2898414622","https://openalex.org/W2899771611","https://openalex.org/W2911964244","https://openalex.org/W2945740428","https://openalex.org/W2958080091","https://openalex.org/W2961552930","https://openalex.org/W2963350250","https://openalex.org/W2963988212","https://openalex.org/W2964121744","https://openalex.org/W2966144556","https://openalex.org/W2969656782","https://openalex.org/W2969985801","https://openalex.org/W2972600666","https://openalex.org/W2979652999","https://openalex.org/W2988847939","https://openalex.org/W2998201239","https://openalex.org/W3003291777","https://openalex.org/W3004507068","https://openalex.org/W3005680577","https://openalex.org/W3030284948","https://openalex.org/W3035282577","https://openalex.org/W3043640841","https://openalex.org/W3095362571","https://openalex.org/W3100345210","https://openalex.org/W3115458541","https://openalex.org/W3123303374","https://openalex.org/W4241614188","https://openalex.org/W4245933748"],"related_works":["https://openalex.org/W1909208367","https://openalex.org/W2148415967","https://openalex.org/W122603882","https://openalex.org/W2010679820","https://openalex.org/W1505873999","https://openalex.org/W2970256865","https://openalex.org/W2166963679","https://openalex.org/W2954481250","https://openalex.org/W2047382418","https://openalex.org/W2056704125"],"abstract_inverted_index":{"Image-space":[0],"auxiliary":[1],"features":[2,50,62,79],"such":[3],"as":[4],"surface":[5],"normal":[6],"have":[7,29],"significantly":[8],"contributed":[9],"to":[10,36,54,76,92,144],"the":[11,37,138,145,157],"recent":[12,146],"success":[13],"of":[14,26,39,60,108,128],"Monte":[15],"Carlo":[16],"(MC)":[17],"reconstruction":[18,66,129],"networks.":[19],"However,":[20],"path-space":[21,49,61,78,126],"features,":[22],"another":[23],"essential":[24],"piece":[25],"light":[27,97],"propagation,":[28],"not":[30],"yet":[31,134],"been":[32],"sufficiently":[33],"explored.":[34],"Due":[35],"curse":[38],"dimensionality,":[40],"information":[41],"flow":[42],"between":[43],"a":[44,64,71,105],"regression":[45],"loss":[46],"and":[47,57,148,151],"high-dimensional":[48],"is":[51,163],"sparse,":[52],"leading":[53],"difficult":[55],"training":[56],"inefficient":[58],"usage":[59],"in":[63],"typical":[65],"framework.":[67],"This":[68],"paper":[69],"introduces":[70],"contrastive":[72],"manifold":[73,107],"learning":[74,86],"framework":[75,83,124,143],"utilize":[77],"effectively.":[80],"The":[81,122,160],"proposed":[82,123],"employs":[84],"weakly-supervised":[85],"that":[87],"converts":[88],"reference":[89],"pixel":[90],"colors":[91],"dense":[93],"pseudo":[94],"labels":[95],"for":[96],"paths.":[98],"A":[99],"convolutional":[100],"path-embedding":[101],"network":[102],"then":[103],"induces":[104],"low-dimensional":[106,133],"paths":[109],"by":[110,131],"iteratively":[111],"clustering":[112],"intra-class":[113],"embeddings,":[114],"while":[115],"discriminating":[116],"inter-class":[117],"embeddings":[118,136],"using":[119],"gradient":[120],"descent.":[121],"facilitates":[125],"exploration":[127],"networks":[130],"extracting":[132],"meaningful":[135],"within":[137],"features.":[139],"We":[140],"apply":[141],"our":[142],"image-":[147],"sample-space":[149],"models":[150],"demonstrate":[152],"considerable":[153],"improvements,":[154],"especially":[155],"on":[156],"sample":[158],"space.":[159],"source":[161],"code":[162],"available":[164],"at":[165],"https://github.com/Mephisto405/WCMC.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}