GANzilla: User-Driven Direction Discovery in Generative Adversarial Networks

Figure 1: GANzilla is a tool that allows users to discover editing directions in Generative Adversarial Networks (GAN) via iterative scatter/gather interactions-a user-driven approach that complements many existing algorithm-driven methods. (a) A user starts by highlighting a region of interest (an optional step). (b) Based on the highlight (if there is), directions are sampled and clustered, each shown as an image edited by that direction. The user can gather clusters by selecting thumbnail images (indicated by a red border). (c) The user can see all the directions of the gathered clusters and (d) scatter them into new clusters. (e) The user can go back-and-forth across iterations to explore alternate choices of scatter/gather. (f) The user can test a selected direction (red border in c) on other images with individual sliders controlling the strength to apply the direction. (g) The user can bookmark directions that meet their editing goals.