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Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

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MINDS SEMINAR

MINDS Seminar Series | U-Jin Choi (KAIST) - 제1λΆ€: Denoising Diffusion Probabilistic Model(DDPM) / 제2λΆ€: Variational Distribution Learning for Unsupervised Text-to-Image Generation

MINDS SEMINAR
period : 2023-11-21 ~ 2023-11-21
time : 16:00:00 ~ 18:00:00
개졜 μž₯μ†Œ : Math Bldg 208& Online streaming (Zoom)
Topic : 제1λΆ€: Denoising Diffusion Probabilistic Model(DDPM) / 제2λΆ€: Variational Distribution Learning for Unsupervised Text-to-Image Generation
κ°œμš”
Date 2023-11-21 ~ 2023-11-21 Time 16:00:00 ~ 18:00:00
Speaker U-Jin Choi Affiliation KAIST
Place Math Bldg 208& Online streaming (Zoom) Streaming link ID : 688 896 1076 / PW : 54321
Topic 제1λΆ€: Denoising Diffusion Probabilistic Model(DDPM) / 제2λΆ€: Variational Distribution Learning for Unsupervised Text-to-Image Generation
Contents 제 1λΆ€ : Ho et al μ—°κ΅¬νŒ€μ΄ NeurIPS2020 에 λ°œν‘œν•œ λ…Όλ¬Έμž…λ‹ˆλ‹€. ν™•μ‚°λͺ¨λΈμ„(μ „λ°©ν–₯) κ°€μš°μ‹œμ•ˆ 마λ₯΄μ½”ν”„ 체인으둜 κ°€μ •ν•˜μ—¬ 주어진 데이터λ₯Ό μ™„μ „ν•œ κ°€μš°μ‹œμ•ˆ λ…Έμ΄μ¦ˆλ‘œ λ³€ν™˜ν•œ λ‹€μŒ Denoising Process( Reverse Time Process)도 κ°€μš°μ‹œμ•ˆ 마λ₯΄μ½”프체인을 λ”°λ₯΄λŠ” Score Function을 ν•™μŠ΅ν•œ λ‹€μŒ ν•™μŠ΅ 된 μŠ€μ½”μ–΄ν•¨μˆ˜λ₯Ό Langevin Dynamics에 λŒ€μž…ν•˜μ—¬ μƒ˜ν”Œμ„ μƒμ„±ν•˜λŠ” ꡬ쑰둜 λ˜μ–΄ μžˆμŠ΅λ‹ˆλ‹€. μ—­λ°©ν–₯의 κ°€μš°μ‹œμ•ˆ 마λ₯΄μ½”ν”„ λͺ¨λΈμ˜ 평균과 뢄산이 μ „λ°©ν–₯의 κ°€μš°μ‹œμ•ˆμ—μ„œ 미리 μ„€μ •λœ λ§€κ°œλ³€μˆ˜λ‘œ ν‘œμ‹œν•˜λŠ” 맀우 ν…Œν¬λ‹ˆμΉΌν•œ μœ λ„κ³Όμ •μ„ μ •λ°€ ν† μ˜ ν•©λ‹ˆλ‹€. 이 λ•Œ λ„€νŠΈμ›μ˜ νŒŒλΌλ©”ν„°λ₯Ό μ΅œμ ν™” ν•˜λŠ” λͺ©μ ν•¨μˆ˜κ°€ ν‘œμ€€μ •κ·œλΆ„ν¬μ—μ„œ μΆ”μΆœ λ˜λŠ” κ°€μš°μ‹œμ•ˆ λ…Έμ΄μ¦ˆμ™€ 이λ₯Ό μΆ”μ • ν•˜λŠ” λ„€νŠΈμ›μ˜ L2-Metric둜 ν‘œν˜„ λ˜λŠ” 과정을 심측 ν† μ˜ν•©λ‹ˆλ‹€. / 제2λΆ€: 2013λ…„ λ°œν‘œ 된 Variational Auto-Encoder μ•Œκ³ λ¦¬ λ„€νŠΈμ›κ³Ό 2014년에 μ œμ•ˆ 된 GAN λ„€νŠΈμ›μ„ κ²°ν•©ν•˜μ—¬ Text-to-Image 생성λͺ¨λΈμ— λŒ€ν•œ μ—°κ΅¬λŠ” 컴퓨터비젼 μ—°κ΅¬μ˜ 핡심 주제 μž…λ‹ˆλ‹€. CVPR. Open As. 2023에 λ°œν‘œλœ 논문을 ν†΅ν•˜μ—¬ 졜근의 연ꡬ결과 및 동ν–₯을 κ΄€μ°° ν•  수 μžˆμŠ΅λ‹ˆλ‹€. 이 λ…Όλ¬Έμ—μ„œλŠ” Contrastive Language-Image Pretraining(CLIP)λ₯Ό ν™œμš©ν•˜μ—¬ Zhou et al 의 LAFITE, CVPR2022 κ²°κ³Ό 보닀 맀우 쒋은 μ‹€ν—˜κ²°κ³Όλ₯Ό λ³΄μ˜€μŠ΅λ‹ˆλ‹€. Score Matching ν™•μ‚°ν™•μœ¨λͺ¨λΈκ³Ό μƒμ΄ν•œ 생성λͺ¨λΈμ΄λ©° μ‘μš©λΆ„μ•Όκ°€ 보닀 κ΄‘λ²”μœ„ ν•œκ²ƒμ„ κ΄€μ°° ν• μˆ˜ μžˆμŠ΅λ‹ˆλ‹€.
MinDS MinDS Β· 2023-11-01 15:00 Β· Views 338

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