Research paper: A Style-Based Generator Architecture for Generative Adversarial Networks Paper published — 29th March 2019 — by Nvidia Website: https://github.com/NVlabs/stylegan Disclaimer: These are just notes and lot of the text is taken from the paper. Main contributions: They propose an alternative generator architecture for generative adversarial networks (GANs), borrowing…

Research Paper: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Paper published — 24th August 2020 — Berkeley AI Research (BAIR) Laboratory, UC Berkeley Website: https://junyanz.github.io/CycleGAN/ Pytorch implementation: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix Torch implementation: https://github.com/junyanz/CycleGAN Disclaimer: These are just notes and lot of the text is taken from the paper.

Research Paper: Image-to-Image Translation with Conditional Adversarial Networks Paper published — 26th Nov 2018 — Berkeley AI Research (BAIR) Laboratory, UC Berkeley Disclaimer: These are just notes and lot of the text is taken from the paper. Earlier papers have focused on specific applications, and it has remained unclear how…

Research paper: “PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION” Paper published — 26th Feb 2018— by Nvidia Disclaimer: These are just notes and lot of the text is taken from the paper. They describe a new training methodology for generative adversarial networks. The key idea is to…

Research paper: “A Neural Algorithm of Artistic Style” by Leon A. Gatys, et. al published on September 2, 2015. Disclaimer: These are just notes and lot of the text is taken from the paper. The paper describes and formulates Neural Style Transfer. Its main takeaway is an algorithmic understanding of…