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SIGGRAPH Asia 2020 勉強会 "Computational Holography"

yamdeck
February 28, 2021

SIGGRAPH Asia 2020 勉強会 "Computational Holography"

yamdeck

February 28, 2021
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  1. 10 • Ͳ͏΍ͬͯ࠷খ஋ΛͱΔYΛ୳ࡧ͢Δ͔ʁ • ࠷΋جຊతͳख๏͸ɼ܏͖Λ࢖ͬͯ୳ࡧ͢Δख๏ • ͱ͋Δ఺ʹ͓͚Δޯ഑ͷٯํ޲  ʹਐΉͱ࠷খ஋ʹ޲͔͏ •

    ӈਤͰ͍͏ͱɼ੺ͷ઀ઓͷ܏͖͸ϚΠφεʢԾʹͱ͢Δʣ • XΛ  ͷํ޲΁ͣΒ͢ʢX  X  ʣ • ͢Δͱ࠷খ஋ΛͱΔXʹۙͮ͘ • ඍ෼Λͯ͠܏͖ʢޯ഑ʣΛऔಘ͢Δ͜ͱ͕࠷దԽʹ͸ඞਢ ࠷దԽʹඞཁͳޯ഑ લఏ஌ࣝ
  2. 11 • ̎࣍ؔ਺ͷΑ͏ͳ؆୯ͳؔ਺ͳΒී௨ʹඍ෼ͯ͠΋ྑ͍͕ɼ࣮ࡍͷ໰୊Ͱѻ͏ํఔࣜ͸΋ͬͱෳࡶ • Ұൠతʹɼ͜Ε·Ͱ̏ͭͷख๏͕ଟ͔ͬͨ • खܭࢉ • ਺஋ඍ෼ •

    γϯϘϦοΫඍ෼ • ۙ೥ɼػցֶशʢಛʹ/FVSBM/FUXPSLʣʹ͓͚Δ όοΫϓϩύήʔγϣϯͷ࣮૷ʹ୅ද͞ΕΔࣗಈඍ෼͕ ྲྀߦ Ͳ͏΍ͬͯඍ෼ʢޯ഑ʣΛܭࢉ͢Δ͔ʁ લఏ஌ࣝ "Automatic Differentiation in Machine Learning: a Survey" (2018) https://jmlr.org/papers/v18/17-468.html
  3. 15

  4. 18 • ͳΜΒ͔ͷύλʔϯПΛ4-.ʹදࣔ͢Δͱɼ݁Ռ ͕ಘΒΕΔ • ͜ΕΛ໨ඪͱͷࠩ෼͕࠷΋খ͘͞ͳΔΑ͏ʹʢ ʣ͢Δͷ͕ຊ࿦จͰͷ࠷దԽ • ࠷దԽͷߋ৽ʹ͋ͨͬͯ͸ɼࣗಈඍ෼ʹΑͬͯٻΊΒΕΔޯ഑Λ׆༻ ̂

    f(ϕ) ̂ f(ϕ) − Atarget = 0 ຊ࿦จʹ͓͚Δ໰୊ͷఆࣜԽ ຊ࿦จʹ͓͚Δ࠷దԽ໰୊ ೖྗɿП ඍ෼Մೳ γϛϡϨʔγϣϯ ̂ f ग़ྗɿ ̂ f(ϕ)
  5. 22 • ࣗಈඍ෼ʹରԠͨ͠ి࣓৔ܭࢉʢ'%'%๏ʣΛ࣮૷͠ɼܗঢ়࠷దԽʹద༻ͨ͠ • Լਤ͸ޫͷ೾௕ʹԠͯ͡ܦ࿏Λ੾Γସ͑Δܗঢ়࠷దԽ • ࠷దԽର৅ʢೖྗม਺ʣɿփ৭ྖҬͷܗঢ় • ඍ෼ՄೳγϛϡϨʔγϣϯɿ'%'% •

    ࠷దԽɿܗঢ়Λೖྗͱͯ͠'%'%γϛϡϨʔγϣϯΛ࣮ߦɽ࣮ߦ݁Ռ͔Βࣗಈඍ෼Ͱޯ഑Λಋग़͠ɼܗঢ়Λߋ৽ɽ ࣗಈඍ෼ʢඍ෼ՄೳγϛϡϨʔγϣϯʣͷࡢࠓ ۩ମྫ̍ɿ'PSXBSE.PEF%JGGFSFOUJBUJPOPG.BYXFMM`T&RVBUJPOT  ॳظܗঢ় ࠷దԽܗঢ় ೖྗɿ ܗঢ় ඍ෼Մೳ γϛϡϨʔγϣϯɿ '%5%๏ ग़ྗɿ ޫͷ఻ൖܦ࿏ ʢൃද࣌লུʣ
  6. 23 • ෳ਺ͷϏϡʔϙΠϯτը૾͔Βɼ͋ΒΏΔํ޲ͷϏϡʔϙΠϯτը૾Λੜ੒Ͱ͖ΔΑ͏ʹ͢Δݚڀ • //ೖྗɿY Z [ В П •

    //ग़ྗɿ3(#М • ඍ෼ՄೳγϛϡϨʔγϣϯɿ7PMVNF3FOEFSJOH • ࠷దԽɿ3FOEFSJOH݁ՌʹΑΔ-PTT͔Βඍ෼Ͱ୧͍ͬͯͬͯ//Λߋ৽ ࣗಈඍ෼ʢඍ෼ՄೳγϛϡϨʔγϣϯʣͷࡢࠓ ۩ମྫ̎ɿ/F3'3FQSFTFOUJOH4DFOFTBT/FVSBM3BEJBODF'JFMETGPS7JFX4ZOUIFTJT  ೖྗɿ ࠲ඪɾํ޲ ඍ෼Մೳԋࢉɿ /FVSBM/FUXPSL  7PMVNF3FOEFSJOH ग़ྗɿ ϏϡʔϙΠϯτը૾ ʢൃද࣌লུʣ
  7. 26 • ίϯτϦϏϡʔγϣϯ̍Ͱ͸ɼγϛϡϨʔγϣϯ্ͷؔ਺ ʹରͯ͠࠷దԽΛ ߦ͍ͬͯͨʢӈ্ࣜʣ • ͜Εͱಉ͡Α͏ʹ࣮ࡍͷޫֶܥʹରͯ͠΋࠷దԽΛߦ͍͍͕ͨɼ ࣮ࡍͷޫֶܥͷ఻ൖॲཧΛ௚઀ඍ෼͢Δ͜ͱ͸Ͱ͖ͳ͍ ̂ f

    Ͳ͏΍࣮ͬͯޫֶܥʹ࠷దԽॲཧΛ૊ΈࠐΉ͔ʁ ίϯτϦϏϡʔγϣϯ̎ ͜Ε͸ඍ෼Ͱ͖ͳ͍ γϛϡϨʔγϣϯ্ͷ఻ൖؔ਺ɿ  ࣮ࡍͷޫֶܥͰͷ఻ൖؔ਺ɿ ̂ f f
  8. 30 • දࣔը૾̍ຕ̍ຕʹରͯ͠࠷దԽΛ͢Δඞཁ͕ൃੜ͍ͯ͠Δʢ͔͔࣌ؒΓ͗͢ʣ • ޫֶܥͷಛੑΛֶशͯ͠ɼͲΜͳදࣔը૾ʹରͯ͠΋ରԠͰ͖ΔϞσϧΛֶशͰ͖ͳ͍͔ʁ • ˠ$BNFSBJOUIFMPPQ.PEFM5SBJOJOH • ࢥ͍ͭ͘؆ܿͳख๏͸ $POWPMVUJPOBM

    /FVSBM/FUXPSLΛ׆༻ͨ͠ख๏ • ͨͩ/FVSBM/FUXPSLʹ͢ΔͱͲ͏͍ͬͨཁૉ͕ىҼ͍ͯ͠Δ͔ͷ෼ੳ͕ࠔ೉ • ˠຊ࿦จͰ͸ɼ1IZTJDBMMZ#BTFE.PEFMΛߏங ୯७ͳ$BNFSBJOUIFMPPQͷ໰୊఺ ίϯτϦϏϡʔγϣϯ̎ γϛϡϨʔγϣϯ ࠷దԽҐ૬ɿϕ /FVSBM/FUXPSL *OQVU 0VUQVU ϕ ϕ′ ࣮ޫֶܥͰͷ ग़ྗɿf(ϕ′ ) NNΛֶश
  9. 31 • 1IZTJDBMMZ#BTFE.PEFM͸̐ཁૉ͔Β੒ΔʢӈԼࣜʹʣ • $POUFOU*OEFQFOEFOU4PVSDFBOE5BSHFU'JFME7BSJBUJPO • .PEFMJOH0QUJDBM1SPQBHBUJPOXJUI"CFSSBUJPOT • .PEFMJOH1IBTF/POMJOFBSJUJFT •

    $POUFOUEFQFOEFOU6OEJSFDUFE-JHIU • શύϥϝʔλΛ͋ΘͤͯВͱఆٛ͠ɼͦΕΛֶश ίϯτϦϏϡʔγϣϯ̎ $BNFSBJOUIFMPPQ.PEFM5SBJOJOH มԽ ඍ෼Մೳ γϛϡϨʔγϣϯ ̂ fθ ೖྗɿ ࠷దԽҐ૬  ϞσϧύϥϝʔλВ ϕ ࣮ޫֶܥͰͷ ग़ྗɿfθ (ϕ′ ) ௨ৗͷ఻ൖࣜ ϊΠζཁૉ͕ύϥϝλϥΠζ͞Εͯ૊Έࠐ·Εͨ఻ൖࣜ
  10. 39 • ίϯτϦϏϡʔγϣϯ̍ɿࣗಈඍ෼ͱඍ෼ՄೳγϛϡϨʔλͱ࠷దԽ • ࣗಈඍ෼ʹରԠͨ͠ඍ෼ՄೳγϛϡϨʔγϣϯʹΑΔ࠷దԽ͕࠷΋ྑ͍݁ՌΛ࣮ݱ • ඍ෼ՄೳγϛϡϨʔγϣϯΛ׆༻ͨ͠࠷దԽ͸ࠓޙ΋৭ʑͳ෼໺Ͱొ৔͢ΔͩΖ͏ • ίϯτϦϏϡʔγϣϯ̎ɿ%JSFDUMZ*OGFBTJCMFϞσϧͷ࠷దԽ •

    ࣮ޫֶܥͷΑ͏ʹ௚઀ܭࢉػͰѻ͑ͳ͍΋ͷͰ͋ͬͯ΋ɼஔ͖׵͑౳Ͱඍ෼Մೳʹ͢Δ͜ͱͰ࠷దԽॲཧͷதʹ ૊ΈࠐΉ͜ͱ͕Ͱ͖Δ • ϋʔυ΢ΣΞͷΈͳΒͣɼਓؒͷΑ͏ͳੜ෺΋ର৅ͱͳΓ͏Δߟ͑ํͰ͋Ζ͏ • ίϯτϦϏϡʔγϣϯ̏ɿ/FVSBM/FUXPSLʹΑΔߴ଎Խ • ඍ෼ՄೳͳԋࢉͰ͋Ε͹ɼ//ͷܗΛऔΒͳͯ͘΋MPTTؔ਺ʹ૊ΈࠐΜͰɼֶशʹ׆༻Ͱ͖Δ • ޻෉ͷࢪ͞Εͨ//"SDIJUFDUVSF͸ࠓޙӹʑ૿͑ΔͩΖ͏ ૯ׅ