Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
SIGGRAPH2020勉強会 "Creative Fabrication"
Search
yamdeck
August 15, 2020
Research
94
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
SIGGRAPH2020勉強会 "Creative Fabrication"
yamdeck
August 15, 2020
More Decks by yamdeck
See All by yamdeck
SIGGRAPH Asia 2020 勉強会 "Computational Holography"
yamdeck
0
78
SIGGRAPH2020勉強会 "VR Hardware"
yamdeck
1
200
“HCI Research as Problem-Solving”(CHI’16) で学ぶ What is HCI Research ?
yamdeck
0
400
Other Decks in Research
See All in Research
Sleuthcon Keynote - How Cybercriminals (ab)use AI
fr0gger
0
260
多様なデータを許容し学習し続ける模倣学習 / Advanced Imitation Learning for VLA
prinlab
0
250
Φ-Sat-2のAutoEncoderによる情報圧縮系論文
satai
4
860
GLIM とMegaParticles:正規分布近似の限界とタイトカップリング&パーティクルフィルタの進展 / GLIM and MegaParticles : Progress of the distribution representation in SLAM
koide3
0
610
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
shunk031
4
1.1k
Apache Gravitinoで実現する Icebergカタログ統合とアクセスの一元化
matsumooon
0
350
さくらインターネット研究所テックトーク2026春、研究開発Gr.25年度成果26年度方針
kikuzo
0
160
長時間動画QAにおけるマルチエージェント推論 ・SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration
murakawatakuya
1
160
Anthropic が提案する LLM の内部状態を自然言語で説明可能にした Natural Language Autoencoders / Natural Language Autoencoders Produce Unsupervised Explanations of LLM Activations
shunk031
0
150
Scalable dynamic origin-destination demand estimation enhanced by high-resolution satellite imagery data
satai
3
350
2026年度 生成AI を活用した論文執筆ガイド/ワークショップ / 2026 Academic Year Guide to Writing Papers Using Generative AI - Workshop
ks91
PRO
0
190
Harness Engineering and Al Agent
kzinmr
3
1.8k
Featured
See All Featured
Believing is Seeing
oripsolob
1
170
Embracing the Ebb and Flow
colly
88
5.1k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
330
Building Adaptive Systems
keathley
44
3.1k
GraphQLとの向き合い方2022年版
quramy
50
15k
Heart Work Chapter 1 - Part 1
lfama
PRO
8
36k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
55k
Principles of Awesome APIs and How to Build Them.
keavy
128
18k
Rebuilding a faster, lazier Slack
samanthasiow
85
9.6k
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.9k
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
390
Making Projects Easy
brettharned
120
6.7k
Transcript
$SFBUJWF'BCSJDBUJPO
2 1BQFS*OGPSNBUJPO $PNQVUBUJPOBM*NBHF.BSLJOHPO.FUBMTWJB-BTFS *OEVDFE)FBUJOH 4FCBTUJBO$VDFSDB 1JPUS%JEZL )BOT1FUFS4FJEFM 7BIJE#BCBFJ .BY1MBODL*OTUJUVUFGPS*OGPSNBUJDT (FSNBOZ
6JWFSTJUBEFMMB4WJ[[FSBJUBMJBOB 4XJU[FSMBOE
3 • νλϯεςϯϨεͱ͍ͬͨۚଐͷද໘ʹࢎԽൽບΛ࡞Γɼޫͷׯবʹ Αͬͯൃ৭ͤ͞ΔʮϨʔβʔΧϥʔϚʔΩϯάʯͱݺΕΔٕज़͕͋Δ • ՃػϨʔβʔڧͳͲෳͷࣗ༝Λ࣋ͪɼௐઅ؆୯Ͱͳ͍ ʢΧϥϑϧ͔ͭߴղ૾ͳྑ͍݁ՌΛಘΒΕΔΑ͏ʹ͢Δͷͳ͓ͷ͜ͱ େมʣ ˣ •
ຊจͰɼܭଌϕʔε͔ͭσʔλυϦϒϯͰ࠷దԽͨ͠$PMPS*NBHF 3FQSPEVDUJPO8PSLGMPXΛߏஙͨ͠ • ΠϯΫδΣοτϓϦϯλʔͷΧϥʔΩϟϦϒϨʔγϣϯͷΑ͏ͳϫʔ ΫϑϩʔͰͰ͖ΔΑ͏ʹ͢Δ *OUSPEVDUJPO ϨʔβʔΧϥʔϚʔΩϯά ϨʔβʔΧϥʔϚʔΩϯάͷྫ ൃ৭ͷݪཧ
4 • ৭Λ࠶ݱ͢Δػࡐʹ͓͍ͯɼ৭ҬΛܾఆ͢Δ͜ͱෆՄܽʢΧϥʔϓϦϯλʔ৭Ҭ͕͋Δʣ • Ұํɼ৭ҬͷΈΛ༏ઌ͢Δ͋·Γɼղ૾͕ࣦΘΕͯࠔΔʢFY࠼ߴ͍͕ϐον͕ૈ͗͢Δʣ • ΑͬͯɼҎԼ̑ͭͷج४Λຬͨ͢Α͏ͳ৭Ҭͷ࠷దԽʢଟత࠷దԽʣ͕ඞཁ • $ISPNBUJDJUZ๛͔ͳ৭࠼Λ࣮ݱ •
)VFTQSFBE৭ΛภΒͳ͍Α͏ʹ • 3FTPMVUJPOղ૾ • 1FSGPSNBODFTQBDFEJWFSTJUZ • %FTJHOTQBDFEJWFSTJUZ • ྫ͑ҹػͰύονΛҹͯ͠ܭଌ͠ɼҹػͷ৭Ҭʹ߹Θͤͨ-65Λ࡞͢Δ 1SPQPTFE.FUIPE (BNVU&YQMPSBUJPOʢ৭Ҭ୳ࡧʣ .$.0(" .POUF$BSMP.VMUJPCKFDUJWF(FOFUJD"MHPSJUIN ͷ̍ΠςϨʔγϣϯ
5 • ৭Ҭ͕ܾఆ͞ΕΕɼޙී௨ͷϓϦϯλʔͱಉ༷ͷॲཧͱ ͳ͍ͬͯ͘ • (BNVU.BQQJOH৭Ҭʹ߹Θͤͯը૾Λ৭ม • $PMPS4FQFSBUJPOج४৭ 3(#ϓϦϯλʔͳΒ3 (
# ʹׂ • )BMGUPOJOHϋʔϑτʔϯҹͱಉ͡Α͏ʹೱΛ࠶ݱ • 7FDUPSJ[BUJPOϨʔβʔϚʔΩϯά࣌ઢඳըͳͷͰϥ Πϯঢ়ʹ 1SPQPTFE.FUIPE *NBHF3FQSPEVDUJPO $PMPS3FQSPEVDUJPO8PSLGMPX
6 • ϨʔβʔϚʔΩϯάӈͷࣸਅͷΑ͏ͳηοτΞοϓΛ४උ࣮ͯ͠ߦ • Ճʹ͓͍ͯ̓ͭͷύϥϝʔλʔΛར༻ • 'SFRVFODZ܁Γฦ͠प • 1PXFSڧ •
1VMTFXJEUIύϧε෯ • 4QFFEՃ෦ͷҠಈ FYNNT • -JOFDPVOUDMVTUFSͷϥΠϯ • )BUDIJOHDMVTUFSͷϥΠϯؒͷڑ • 1BTTDPVOUԿճಉҰՕॴͷϥΠϯΛඳը͢Δ͔ &YQFSJNFOU "CPVU-BTFS
7 • ࠨJOQVUJNBHF • தԝ(BNVU.BQQJOH ޙͷը૾ • ӈϨʔβʔϚʔΩϯά ʹΑΔඳը݁Ռ 3FTVMU
݁Ռ
8 1BQFS*OGPSNBUJPO $PNQVUBUJPOBM1BSRVFUSZ'BCSJDBUFE4UZMF5SBOTGFSXJUI 8PPE1JYFMT +VMJBO*TFSJOHIBVTFO .JDIBFM8FJONBOO 8FJ[IFO)VBOH .BUUIJBT#)VMMJO 6OJWFSTJUZPG#POO (FSNBOZ
9 • 1BSRVFUSZ ύʔέοτϦʔ ͱݺΕΔΛ׆༻ͨ͠දݱ͕͋Δ • ը૾Λೖྗͱ͠ɼ1BSRVFUSZʹΑΔ࠶ݱ GBCSJDBUJPO Λߦ͏ϫʔΫϑ ϩʔͷ࣮ݱ͓ΑͼۙࣅΞϧΰϦζϜͷఏҊΛߦͬͨ
.PUJWBUJPO ຊจͷϞνϕʔγϣϯͱͬͨ͜ͱ 1BSRVFUSZʹΑΔϙʔτϨʔτ࡞ͷྫ 1BSRVFUSZͷྫ
10 • ࡞ϓϩηεҎԼͷ௨Γ • ࡐΛ༻ҙ͠ɼεΩϟχϯάͯ͠ςΫενϟը૾Λ༻ҙ • λʔήοτΠϝʔδͱ߹ΘͤͯɼΈ߹ΘͤʢΧοτύλʔϯͱஔʣΛܭࢉ • ࣮ࡍʹࡐΛΧοτ͠ɼΈ߹Θͤɼݻఆ͢Δͱ 1SPQPTFE.FUIPE
'BCSJDBUJPO1SPDFTT 1SPQPTFE&OEUP&OE1SPDFTT
11 • ̎छྨͷϑΟϧλʔʢڧϑΟϧλʔɾκʔϕϧϑΟϧλʔʣΛը૾ʹରͯ͠ద༻͠ɼಛྔΛநग़ • • λʔήοτը૾ͱςΫενϟ ࡐ ͕େ͖͘ҟͳΔ৭ҬϑΟϧλʔԠΛ࣋ͪ͏ΔͷͰɼώετάϥϜϚονϯάΛ ద༻
$%'CBTFEIJTUPHSBNFRVBMJ[BUJPO • ͨͩ͠ɼ࣮ࡍʹద༻ͯ͠ΈΔͱద༻͕աͰ͋ͬͨͨΊɼݩͷλʔήοτڧͱద༻ޙͷڧΛิؒͨ͠ • • *5λʔήοτը૾ɼ*4ιʔεςΫενϟ F(I) = (wintens ∙ Fintens (I), wedge ∙ Fedge (I)) T F′ intens (IT ) = (1 − whist )Fintens (IT ) + whist Fequalize (It , IS ) 1SPQPTFE.FUIPE 'FBUVSF&YUSBDUJPO MFGUݩը૾ NJEEMFMFGUڧϑΟϧλͷΈ NJEEMFSJHIUิؒ SJHIUώετάϥϜϚονϯά
12 • λʔήοτը૾Λλʔήοτύονʹׂ͠ɼλʔήοτύονͱׂΓͯΔιʔεύονͷಛྔͷ͕ࠩখ͘͞ͳΔ Α͏ʹɼιʔεύονΛܾఆ͍͖ͯ͠·͢ • • 15λʔήοτύονɼ14ιʔεύον •
ͳ͓ɼλʔήοτը૾ͷύονͷॱ൪TBMJFODZTDPSF͔த৺͔Βͷڑʹґଘͯ͠ιʔτ͢Δ Di,j (x) = np ∑ k=1 (F(PT (pk )) − F(IS,i,ϕj (x + pk ))) 2 PS = arg mini,j,x Di,j (x) 1SPQPTFE.FUIPE $VUQBUUFSOPQUJNJ[BUJPO ࠨTBMJFODZTDPSF ӈத৺͔Βͷڑ
13 • ̎ͭͷΞϧΰϦζϜ͕ఏҊ͞Ε͍ͯΔ • PQUJPOBMͱͳ͍ͬͯͨͷͰຊൃදͰলུ 1SPQPTFE.FUIPE 1BUDITIBQFPQUJNJ[BUJPO 4IBQFPQUJNJ[BUJPOͷ̍ྫ
14 3FTVMUT ݁Ռ
15 1BQFS*OGPSNBUJPO 3PCP$VU)PUXJSF$VUUJOHXJUI3PCPUDPOUSPMMFE'MFYJCMF 3PET 4JNPO%VFOTFS 3PJ1PSBOOF #FSOIBSE5IPNBT[FXTLJ 4UFMJBO$PSPT
&5);VSJDI 6OJWFSTJUZPG)BJGB 6OJWFSTJUFEF.POUSFBM
16 • σϡΞϧϩϘοτΞʔϜΛ༻͍ ͯɼϗοτϫΠϠʔΧοτʹΑ ΔGBCSJDBUJPOख๏ͷఏҊ • ࣮ݱʹओʹ̏ͭͷλεΫͷ࣮ ߦ͕ඞཁ • ϩϘοτΞʔϜͷಈ͖ʹ
͏ܗঢ়ͷมԽ • λʔήοτܗঢ়ʹͳΔΑ ͏ͳαʔϑΣεۙࣅ • ϫΠϠʔΧοτΛߦ͏্ Ͱͷύεܗ 0WFSWJFX ຊจͷશମ૾
17 • ϩϘοτΞʔϜͷ֯RͱͦΕʹΑܾͬͯ·ΔϫΠϠʔܗঢ় ࠲ඪ YΛλʔ ήοτܗঢ়͔ΒٻΊ͍ͯ͘ • 6Lλʔήοτܗঢ়ͷ·ͩΧοτ͞Ε͍ͯͳ͍෦ͷ࠲ඪͰɼ6LʹରԠ͢ ΔY࠲ඪΛܾఆ͍ͯ͘͠ 1SPQPTFE.FUIPE
ϫΠϠʔܗঢ়ͷܾΊํ ಈ࡞ڥͱؔ࿈ύϥϝʔλ ϫΠϠʔܗঢ়ͷܾΊํ
18 • ϫΠϠʔܗঢ়ɾಈ࡞ͷ࠷దԽΛ ߦ͍ͬͯΔ • ͳ͓ɼ࠷దԽΛߦ͏্Ͱ࠷ॳ ʹϥϑͳύε͕ඞཁͱͳΔ͕ɼ ͜ͷύεϢʔβʔʹॻ͔ͤͯ ྑ͍͠ɼશࣗಈԽͰߦ͏͜ ͱͰ͖Δ
1SPQPTFE.FUIPE ϫΠϠʔಈ࡞ͷ࠷దԽ
19 • ܗͷΓग़͠Λͨ͠ΓɼΧοτͨ͠ͷ͔ΒͷΈཱͯͰ͖Δ 3FTVMUT 'BCSJDBUJPO3FTVMUT ݁Ռ