By: Zachary Arredondo, Kumaran Arulmani, Rahul Butani, Rishab Chander, Nathan Chin, Wenran Lu
GitLab Repository: https://gitlab.com/zarredondo/dogganit
Our research focuses on generating square images of dogs using Deep Convolutional Generative Adversarial Networks (DCGANs). To improve the quality of the images generated, we tried a few techniques such as applying different loss functions, tuning hyper-parameters, and incorporating additional convolutional layers. Additionally, we scored our models using the Fréchet Inception Distance (FID) to analyze their performance. Our major goal was to improve the quality of the generated images and make them more realistic looking.