PhD Seminar • Computer Vision — Overview of Generative Adversarial Learning in Vision

Dmitrii Marin, PhD candidate
David R. Cheriton School of Computer Science

We will review recent applications of GANs in Computer Vision including classic Image Generation, Domain Adaptation and Transfer, Inpainting, Segmentation etc. We will briefly introduce GANs and then review different architectural solutions for problems in Computer Vision. The talk will cover recent works from vision and learning conferences like ICML and CVPR.