๊ฐ์ฒด ํ์ง(Object Detection)
์๊ณ์ด ๋ถ์(Time Series)
์์ฑ ๋ชจ๋ธ๋ง(Generative Modeling)
๋ฌธ์ ์์ฑ(Question Generation)
Victorian400 Dataset for Colorizing Victorian Illustrations
Image-to-Image Translation with Conditional Adversarial Networks
Victorian400: Colorizing Victorian Illustrations
Pros and Cons of GAN Evaluation Measures
U-Net: Convolutional Networks for Biomedical Image Segmentation
Generative Adversarial Networks
Conditional Generative Adversarial Nets
Generative Adversarial Nets ๋ถ์๊ณผ ์ ์ฉ์ฌ๋ก
Synthesizing Obama: Learning Lip Sync from Audio
An_Analysis_of_Evaluation_Metrics_of_GANs
Progressive_Growing_of_GANs_for_Improved_Quality_Stability_and_Variation
Eye In-Painting with Exemplar Generative Adversarial Networks
Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News
Improved Techniques For Training GANs
On the Evaluation of Conditional GANs
PyTorch-GAN
GAN_colorization
clearing-a-subplot-in-matplotlib
row-and-column-headers-in-matplotlibs-subplots
matplotlib-subplots-get-rid-of-tick-labels-altogether
matplotlib-imshow-stretch-to-fit-width
์ฝ๊ฒ ์์ด์ง GAN
cCAN(conditionial GAN)
CGAN
Best Resources for Getting Started With GANs