project는 list된 논문의 구현과 발표입니다.


자세한 사항은 첨부한 파일을 참조해 주세요~


감사합니다:)



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Unrolled Generative Adversarial Networks

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets 이제열

Energy-based Generative Adversarial Network 서정민

Least Squares Generative Adversarial Networks 장시형

Conditional Generative Adversarial Nets 서우덕

Mode regularized generative adversarial networks 이성신

Image-to-Image Translation with Conditional Adversarial Networks 최연규

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks (황인희)

Semi-supervised Learning with Deep Generative Models (Tran Tien Cong)

Attribute2Image: Conditional Image Generation from Visual Attributes 신동진

deep convolutional inverse graphics network

DRAW: A Recurrent Neural Network For Image Generation (Adeel Malik)

A Recurrent Latent Variable Model for Sequential Data  서윤범

Variational Inference with Normalizing Flows