High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Explore high-resolution image synthesis and semantic manipulation using conditional GANs in this 34-minute lecture from the University of Central Florida. Delve into the pix2pix baseline and learn techniques for improving photorealism and resolution through coarse-to-fine generation and multi-scale discriminators. Discover the use of instance maps and the process of learning instance-level feature embeddings. Examine quantitative comparisons, perceptual studies, and human evaluations of generated images. Compare generator and discriminator performances, and gain insights into interactive object editing capabilities.