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[CSE URP] GAN(Generative Adversarial Networks) 논문읽기
GAN Original Paper ) https://arxiv.org/abs/1406.2661 Generative Adversarial Networks We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that arxiv.org 꽤나 클래식한 논문이다. Cite 횟수도 4만 여 건 이상인 획기적이면서도 생성모델의..
Experiences & Study/CSE URP' 29
2023. 8. 26. 16:47