Generative Adversarial Nets : arXive 2014

Ian Goodfellow$(.et al)$ Abstract ์ ๋Œ€์  ํ”„๋กœ์„ธ์Šค๋ฅผ ํ†ตํ•ด ์ƒ์„ฑ๋ชจ๋ธ์„ ์ถ”์ •ํ•˜๋Š” ์ƒˆ๋กœ์šด ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ƒ์„ฑ๋ชจ๋ธ G์™€ ํŒ๋ณ„๋ชจ๋ธ D ๋‘๊ฐ€์ง€ ๋ชจ๋ธ์„ ๋™์‹œ์— ํ›ˆ๋ จํ•œ๋‹ค. GAN? GAN์€ ๋‘ ๊ฐœ์˜ ๋‹ค๋ฅธ ์‹ ๊ฒฝ๋ง ๊ฐ„์˜ ์ ๋Œ€์ ์ธ ๊ด€๊ณ„๋กœ ๋Œ€๋ฆฝ(Adversarial)ํ•˜๋ฉฐ ์„œ๋กœ์˜ ์„ฑ๋Šฅ์„ ์ ์ฐจ ๊ฐœ์„ ํ•ด ๋‚˜๊ฐ€๋Š” ๊ฒƒ ์ƒ์„ฑ ๋ชจ๋ธ G : ๋ฐ์ดํ„ฐ์˜ ๋ถ„ํฌ๋ฅผ ํ•™์Šตํ•˜๋Š” ๋ชจ๋ธ ํŒ๋ณ„ ๋ชจ๋ธ D : ์ด๋ฏธ์ง€๋ฅผ ์‹ค์ œ(training data) ๋˜๋Š” ๊ฐ€์งœ(generated data)์ธ์ง€ ๋ถ„๋ฅ˜ํ•˜๋Š” ๋ชจ๋ธ Generator๋Š” ํ›ˆ๋ จ ๋ฐ์ดํ„ฐ์˜ ๋ถ„ํฌ๋ฅผ ํ•™์Šตํ•˜์—ฌ, ์ž„์˜์˜ ๋…ธ์ด์ฆˆ๋ฅผ ์ž…๋ ฅ์œผ๋กœ ๋ฐ›์•„ ์‹ ๊ฒฝ๋ง์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋ฏธ์ง€๋ฅผ ์ƒ์„ฑํ•จ. Introduction ๋”ฅ๋Ÿฌ๋‹์˜ ๊ฐ€์žฅ ๋‘๋“œ๋Ÿฌ์ง„ ์„ฑ๊ณต์€ high-dimensional, rich sensor..